Dataset Viewer
repo_url
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| paper_url
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| paper_title
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β | paper_arxiv_id
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| framework
stringclasses 9
values | official_status
stringclasses 2
values | mention_source
stringclasses 3
values |
|---|---|---|---|---|---|---|
https://github.com/zhijun-xu/puneval
|
https://paperswithcode.com/paper/a-good-pun-is-its-own-reword-can-large
|
"A good pun is its own reword": Can Large Language Models Understand Puns?
|
2404.13599
|
none
|
β
Official
|
π In Paper
|
https://github.com/orionw/according-to
|
https://paperswithcode.com/paper/according-to-prompting-language-models
|
"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data
|
2305.13252
|
none
|
β
Official
|
π In Paper
|
https://github.com/koudounasalkis/UnSLU-BENCH
|
https://paperswithcode.com/paper/alexa-can-you-forget-me-machine-unlearning
|
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding
|
2505.15700
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/pierz95/spotifyattributes
|
https://paperswithcode.com/paper/all-of-me-mining-users-attributes-from-their
|
"All of Me": Mining Users' Attributes from their Public Spotify Playlists
|
2401.14296
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/hardy-education/llm-psychometrics
|
https://paperswithcode.com/paper/all-that-glitters-approaches-to-evaluations
|
"All that Glitters": Approaches to Evaluations with Unreliable Model and Human Annotations
|
2411.15634
|
none
|
β
Official
|
π In Paper
|
https://github.com/ZihanWangKi/AverageApproxFirstPC
|
https://paperswithcode.com/paper/average-approximates-first-principal
|
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models
|
2104.08673
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/VITA-Group/BNN_NoBN
|
https://paperswithcode.com/paper/bnn-bn-training-binary-neural-networks
|
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization
|
2104.08215
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/txl646/btfcovid
|
https://paperswithcode.com/paper/back-to-the-future-projections-for-covid-19
|
"Back to the future" projections for COVID-19 surges
|
2202.08928
|
none
|
β
Official
|
π In Paper
|
https://github.com/nchammas/flintrock
|
https://paperswithcode.com/paper/birds-in-the-clouds-adventures-in-data
|
"Birds in the Clouds": Adventures in Data Engineering
|
1710.08521
|
none
|
β
Official
|
π In Paper
|
https://github.com/aistats20submodular/aistats20submodular
|
https://paperswithcode.com/paper/bring-your-own-greedymax-near-optimal-12
|
"Bring Your Own Greedy"+Max: Near-Optimal $1/2$-Approximations for Submodular Knapsack
|
1910.05646
|
none
|
β
Official
|
π In Paper
|
https://github.com/gesiscss/theory-driven-sexism-detection
|
https://paperswithcode.com/paper/unsex-me-here-revisiting-sexism-detection
|
"Call me sexist, but...": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples
|
2004.12764
|
tf
|
β
Official
|
π In Paper
|
https://github.com/chuck-arvin/mmlu
|
https://paperswithcode.com/paper/2506-10297
|
"Check My Work?": Measuring Sycophancy in a Simulated Educational Context
|
2506.10297
|
none
|
β
Official
|
π In Paper
|
https://github.com/dair-iitd/pronci
|
https://paperswithcode.com/paper/covid-vaccine-is-against-covid-but-oxford
|
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds
|
2210.13039
|
jax
|
β
Official
|
π In Paper
|
https://github.com/hnghiem-usc/define_your_terms
|
https://paperswithcode.com/paper/define-your-terms-enhancing-efficient
|
"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition
|
2402.03221
|
none
|
β
Official
|
π In Paper
|
https://github.com/verazuo/jailbreak_llms
|
https://paperswithcode.com/paper/do-anything-now-characterizing-and-evaluating
|
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
|
2308.03825
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/hihey54/ecrime23_realadversarialphish
|
https://paperswithcode.com/paper/do-users-fall-for-real-adversarial-phishing
|
"Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages
|
2311.16383
|
none
|
β
Official
|
π In Paper
|
https://github.com/hammerlabml/modelagnosticgroupfairnesscounterfactuals
|
https://paperswithcode.com/paper/explain-it-in-the-same-way-model-agnostic
|
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations
|
2211.14858
|
none
|
β
Official
|
π In Paper
|
https://github.com/sayaksr/phishxplain
|
https://paperswithcode.com/paper/explain-don-t-just-warn-a-real-time-framework
|
"Explain, Don't Just Warn!" -- A Real-Time Framework for Generating Phishing Warnings with Contextual Cues
|
2505.06836
|
none
|
β
Official
|
π In Paper
|
https://github.com/robtovey/2020SpatiallyAdaptiveFISTA
|
https://paperswithcode.com/paper/fista-in-banach-spaces-with-adaptive
|
"FISTA" in Banach spaces with adaptive discretisations
|
2101.09175
|
none
|
β
Official
|
π In Paper
|
https://github.com/ENSCMA2/flextape
|
https://paperswithcode.com/paper/flex-tape-can-t-fix-that-bias-and
|
"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models
|
2403.00180
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/staeiou/gigo_qss_2021
|
https://paperswithcode.com/paper/garbage-in-garbage-out-revisited-what-do
|
"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?
|
2107.02278
|
none
|
β
Official
|
π In Paper
|
https://github.com/ut-mpc/homegpt
|
https://paperswithcode.com/paper/get-ready-for-a-party-exploring-smarter-smart
|
"Get ready for a party": Exploring smarter smart spaces with help from large language models
|
2303.14143
|
none
|
β
Official
|
π In Paper
|
https://github.com/MH-Hou/EARLY
|
https://paperswithcode.com/paper/give-me-an-example-like-this-episodic-active
|
"Give Me an Example Like This": Episodic Active Reinforcement Learning from Demonstrations
|
2406.03069
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/minaoar/how-do-people-decide-a-model-for-software-library-selection
|
https://paperswithcode.com/paper/how-do-people-decide-a-model-for-software
|
"How do people decide?": A Model for Software Library Selection
|
2403.16245
|
none
|
β
Official
|
π In Paper
|
https://github.com/konstantinosftw/Question-Evasion
|
https://paperswithcode.com/paper/i-never-said-that-a-dataset-taxonomy-and
|
"I Never Said That": A dataset, taxonomy and baselines on response clarity classification
|
2409.13879
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/zsavvas/Soft-Moderation-Interventions-Twitter
|
https://paperswithcode.com/paper/i-won-the-election-an-empirical-analysis-of
|
"I Won the Election!": An Empirical Analysis of Soft Moderation Interventions on Twitter
|
2101.07183
|
none
|
β
Official
|
π In Paper
|
https://github.com/mainack/switch-vpn-datacode-sec24
|
https://paperswithcode.com/paper/i-just-hated-it-and-i-want-my-money-back-data
|
"I just hated it and I want my money back": Data-driven Understanding of Mobile VPN Service Switching Preferences in The Wild
|
2403.01648
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/adewynter/argumentation-llms
|
https://paperswithcode.com/paper/i-wish-to-have-an-argument-argumentative
|
"I'd Like to Have an Argument, Please": Argumentative Reasoning in Large Language Models
|
2309.16938
|
none
|
β
Official
|
π In Paper
|
https://github.com/facebookresearch/ResponsibleNLP/tree/main/holistic_bias
|
https://paperswithcode.com/paper/i-m-sorry-to-hear-that-finding-bias-in
|
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset
|
2205.09209
|
none
|
β
Official
|
β No Mention
|
https://github.com/sweet-shark/MeTFA-A-Robustness-Evaluation-Framework-for-Feature-Attribution
|
https://paperswithcode.com/paper/is-your-explanation-stable-a-robustness
|
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution
|
2209.01782
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/jackstelling/biasmitigation
|
https://paperswithcode.com/paper/just-drive-colour-bias-mitigation-for
|
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving
|
2112.01121
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/koudounasalkis/slu-kan
|
https://paperswithcode.com/paper/kan-you-hear-me-exploring-kolmogorov-arnold
|
"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding
|
2505.20176
|
none
|
β
Official
|
π In Paper
|
https://github.com/uclanlp/biases-llm-reference-letters
|
https://paperswithcode.com/paper/kelly-is-a-warm-person-joseph-is-a-role-model
|
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters
|
2310.09219
|
none
|
β
Official
|
π In Paper
|
https://github.com/tinosulzer/kneepoint-review
|
https://paperswithcode.com/paper/knees-in-lithium-ion-battery-aging
|
"Knees" in lithium-ion battery aging trajectories
|
2201.02891
|
none
|
β
Official
|
π In Paper
|
https://github.com/project-miracl/nomiracl
|
https://paperswithcode.com/paper/nomiracl-knowing-when-you-don-t-know-for
|
"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation
|
2312.11361
|
none
|
β
Official
|
π In Paper
|
https://github.com/MathieuRita/Lazimpa
|
https://paperswithcode.com/paper/lazimpa-lazy-and-impatient-neural-agents
|
"LazImpa": Lazy and Impatient neural agents learn to communicate efficiently
|
2010.01878
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/mansourehk/grandma
|
https://paperswithcode.com/paper/let-s-eat-grandma-when-punctuation-matters-in
|
"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation?
|
2101.03029
|
none
|
β
Official
|
π In Paper
|
https://github.com/qiancheng0/ekd_impacts_pkg
|
https://paperswithcode.com/paper/merge-conflicts-exploring-the-impacts-of
|
"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs
|
2309.08594
|
none
|
β
Official
|
π In Paper
|
https://github.com/whpress/SyntheticCategoricalData
|
https://paperswithcode.com/paper/minus-one-data-prediction-generates-synthetic
|
"Minus-One" Data Prediction Generates Synthetic Census Data with Good Crosstabulation Fidelity
|
2406.05264
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/vjosapreniqi/lyrics-content-features
|
https://paperswithcode.com/paper/more-than-words-linking-music-preferences-and
|
"More Than Words": Linking Music Preferences and Moral Values Through Lyrics
|
2209.01169
|
none
|
β
Official
|
π In Paper
|
https://github.com/mainlp/mcq-mismatch
|
https://paperswithcode.com/paper/my-answer-is-c-first-token-probabilities-do
|
"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models
|
2402.14499
|
none
|
β
Official
|
π In Paper
|
https://github.com/naist-se/ghsponsorsx
|
https://paperswithcode.com/paper/my-github-sponsors-profile-is-live
|
"My GitHub Sponsors profile is live!" Investigating the Impact of Twitter/X Mentions on GitHub Sponsors
|
2401.02755
|
none
|
β
Official
|
π In Paper
|
https://github.com/tamoharu/Agent-Memory-CHI24
|
https://paperswithcode.com/paper/my-agent-understands-me-better-integrating
|
"My agent understands me better": Integrating Dynamic Human-like Memory Recall and Consolidation in LLM-Based Agents
|
2404.00573
|
none
|
β
Official
|
π On GitHub
|
https://github.com/lwgkzl/br-agent
|
https://paperswithcode.com/paper/my-nose-is-running-are-you-also-coughing
|
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics
|
2204.13953
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/ewsheng/ad-hom-in-dialogue
|
https://paperswithcode.com/paper/nice-try-kiddo-ad-hominems-in-dialogue
|
"Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses
|
2010.12820
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/graph-axis/gcleaner
|
https://paperswithcode.com/paper/no-matter-what-you-do-mitigating-backdoor
|
"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning
|
2410.01272
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/diagnijmegen/tumor-percentage-mil-regression
|
https://paperswithcode.com/paper/no-negatives-needed-weakly-supervised
|
"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images
|
2502.21109
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/stanford-iliad/lilac
|
https://paperswithcode.com/paper/no-to-the-right-online-language-corrections
|
"No, to the Right" -- Online Language Corrections for Robotic Manipulation via Shared Autonomy
|
2301.02555
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/KiranSmelser/stress-metrics-and-scale
|
https://paperswithcode.com/paper/normalized-stress-is-not-normalized-how-to
|
"Normalized Stress" is Not Normalized: How to Interpret Stress Correctly
|
2408.07724
|
none
|
β
Official
|
β No Mention
|
https://github.com/Meirtz/BabyBLUE-llm
|
https://paperswithcode.com/paper/not-aligned-is-not-malicious-being-careful
|
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak
|
2406.11668
|
none
|
β
Official
|
π In Paper
|
https://github.com/krzbar/RMaCzek_BiometricalLetters_2020
|
https://paperswithcode.com/paper/old-techniques-for-new-times-the-rmaczek
|
"Old Techniques for New Times": the RMaCzek package for producing Czekanowski's Diagrams
|
2101.01501
|
none
|
β
Official
|
π In Paper
|
https://github.com/llm-ethics/ethicssuite
|
https://paperswithcode.com/paper/oops-did-i-just-say-that-testing-and
|
"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process
|
2305.02626
|
none
|
β
Official
|
π In Paper
|
https://github.com/antonior92/ParallelTrainingNN.jl
|
https://paperswithcode.com/paper/parallel-training-considered-harmful
|
"Parallel Training Considered Harmful?": Comparing series-parallel and parallel feedforward network training
|
1706.07119
|
none
|
β
Official
|
π In Paper
|
https://github.com/visual-gen/semanticist
|
https://paperswithcode.com/paper/principal-components-enable-a-new-language-of
|
"Principal Components" Enable A New Language of Images
|
2503.08685
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/jeremy43/ind_knn
|
https://paperswithcode.com/paper/private-prediction-strikes-back-private
|
"Private Prediction Strikes Back!'' Private Kernelized Nearest Neighbors with Individual Renyi Filter
|
2306.07381
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/EMSC-CSEM/EQN_2020_analysis
|
https://paperswithcode.com/paper/shaking-in-5-seconds-a-voluntary-smartphone
|
"Shaking in 5 seconds!" A Voluntary Smartphone-based Earthquake Early Warning System
|
2102.06739
|
none
|
β
Official
|
π In Paper
|
https://github.com/mohit3011/Online-Antisemitism-Detection-Using-MultimodalDeep-Learning
|
https://paperswithcode.com/paper/subverting-the-jewtocracy-online-antisemitism
|
"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning
|
2104.05947
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/javirandor/wdr
|
https://paperswithcode.com/paper/that-is-a-suspicious-reaction-interpreting-1
|
"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks
|
2204.04636
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/joey1993/pun-recognition
|
https://paperswithcode.com/paper/the-boating-store-had-its-best-sail-ever
|
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition
|
2004.14457
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/nwintersgill/licensing_issues_study
|
https://paperswithcode.com/paper/the-law-doesn-t-work-like-a-computer
|
"The Law Doesn't Work Like a Computer": Exploring Software Licensing Issues Faced by Legal Practitioners
|
2403.14927
|
none
|
β
Official
|
π In Paper
|
https://github.com/weltliteratur/vossanto
|
https://paperswithcode.com/paper/the-michael-jordan-of-greatness-extracting
|
"The Michael Jordan of Greatness": Extracting Vossian Antonomasia from Two Decades of the New York Times, 1987-2007
|
1902.06428
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/thaleaschlender/An-Evaluation-of-Multiclass-Debiasing-Methods-on-Word-Embeddings
|
https://paperswithcode.com/paper/thy-algorithm-shalt-not-bear-false-witness-an
|
"Thy algorithm shalt not bear false witness": An Evaluation of Multiclass Debiasing Methods on Word Embeddings
|
2010.16228
|
none
|
β
Official
|
π In Paper
|
https://github.com/socsys/wayback-web-history
|
https://paperswithcode.com/paper/way-back-then-a-data-driven-view-of-25-years
|
"Way back then": A Data-driven View of 25+ years of Web Evolution
|
2202.08239
|
none
|
β
Official
|
π In Paper
|
https://github.com/pujari-rajkumar/language-in-context
|
https://paperswithcode.com/paper/we-demand-justice-towards-grounding-political
|
"We Demand Justice!": Towards Social Context Grounding of Political Texts
|
2311.09106
|
none
|
β
Official
|
β No Mention
|
https://github.com/alexfrummet/cookversationalsearch
|
https://paperswithcode.com/paper/what-can-i-cook-with-these-ingredients
|
"What can I cook with these ingredients?" -- Understanding cooking-related information needs in conversational search
|
2112.04788
|
tf
|
β
Official
|
π In Paper
|
https://github.com/alexa/dstc11-track5
|
https://paperswithcode.com/paper/what-do-others-think-task-oriented
|
"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge
|
2305.12091
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/spalabucr/synth-audit
|
https://paperswithcode.com/paper/what-do-you-want-from-theory-alone
|
"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation
|
2405.10994
|
none
|
β
Official
|
π In Paper
|
https://github.com/raki123/counterfactuals
|
https://paperswithcode.com/paper/what-if-in-probabilistic-logic-programming
|
"What if?" in Probabilistic Logic Programming
|
2305.15318
|
none
|
β
Official
|
π In Paper
|
https://github.com/venelink/mindreading-coling
|
https://paperswithcode.com/paper/what-is-on-your-mind-automated-scoring-of
|
"What is on your mind?" Automated Scoring of Mindreading in Childhood and Early Adolescence
|
2011.08035
|
tf
|
β
Official
|
π In Paper
|
https://github.com/DLR-RM/DistinctNet
|
https://paperswithcode.com/paper/what-s-this-learning-to-segment-unknown
|
"What's This?" -- Learning to Segment Unknown Objects from Manipulation Sequences
|
2011.03279
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/yahskapar/healthchat
|
https://paperswithcode.com/paper/what-s-up-doc-analyzing-how-users-seek-health
|
"What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets
|
2506.21532
|
none
|
β
Official
|
π In Paper
|
https://github.com/andreartelt/contrastingexplanationdimred
|
https://paperswithcode.com/paper/why-here-and-not-there-diverse-contrasting
|
"Why Here and Not There?" -- Diverse Contrasting Explanations of Dimensionality Reduction
|
2206.07391
|
jax
|
β
Official
|
π In Paper
|
https://github.com/mlforhealth/expl_perf_drop
|
https://paperswithcode.com/paper/why-did-the-model-fail-attributing-model
|
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
|
2210.10769
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/UppsalaIM/rice
|
https://paperswithcode.com/paper/why-did-you-do-that-explaining-black-box
|
"Why did you do that?": Explaining black box models with Inductive Synthesis
|
1904.09273
|
tf
|
β
Official
|
π In Paper
|
https://github.com/rasoolims/ImageTranslate
|
https://paperswithcode.com/paper/wikily-neural-machine-translation-tailored-to
|
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks
|
2104.08384
|
pytorch
|
β
Official
|
π In Paper
|
https://gitlab.com/NeoTheThird/ceth-seminar
|
https://paperswithcode.com/paper/y-all-are-just-too-sensitive-a-computational
|
"Y'all are just too sensitive": A computational ethics approach to understanding how prejudice against marginalized communities becomes epistemic belief
|
2207.01017
|
none
|
β
Official
|
β No Mention
|
https://github.com/mjuarezm/ldp-measurements-fl
|
https://paperswithcode.com/paper/you-can-t-fix-what-you-can-t-measure
|
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning
|
2206.12183
|
none
|
β
Official
|
π In Paper
|
https://github.com/vered1986/LM_NE_bias
|
https://paperswithcode.com/paper/you-are-grounded-latent-name-artifacts-in-pre
|
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models
|
2004.03012
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/goodboyanush/dl-model-recommend
|
https://paperswithcode.com/paper/you-might-also-like-this-model-data-driven
|
"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets
|
1911.11433
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/ky-zhou/zspu
|
https://paperswithcode.com/paper/zero-shot-point-cloud-upsampling
|
"Zero-Shot" Point Cloud Upsampling
|
2106.13765
|
tf
|
β
Official
|
π In Paper
|
https://github.com/SandeshS/Twitter-Veridicality
|
https://paperswithcode.com/paper/i-have-a-feeling-trump-will-win-forecasting
|
"i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter
|
1707.07212
|
none
|
β
Official
|
β No Mention
|
https://github.com/karenacorn99/Social-Narrative-Tree
|
https://paperswithcode.com/paper/where-is-this-relationship-going
|
"where is this relationship going?": Understanding Relationship Trajectories in Narrative Text
|
2010.15313
|
none
|
β
Official
|
π In Paper
|
https://github.com/mirkolai/leave-or-remain
|
https://paperswithcode.com/paper/brexit-leave-or-remain-the-role-of-user-s
|
#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection
|
2007.14936
|
none
|
β
Official
|
π In Paper
|
https://github.com/computationalmedia/cascade-influence
|
https://paperswithcode.com/paper/debatenight-the-role-and-influence-of
|
#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate
|
1802.09808
|
none
|
β
Official
|
π In Paper
|
https://github.com/echen102/us-pres-elections-2020
|
https://paperswithcode.com/paper/election2020-the-first-public-twitter-dataset
|
#Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election
|
2010.00600
|
none
|
β
Official
|
π In Paper
|
https://github.com/ofa-sys/instag
|
https://paperswithcode.com/paper/instag-instruction-tagging-for-diversity-and
|
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
|
2308.07074
|
none
|
β
Official
|
π In Paper
|
https://github.com/DigitalDigger/MeTooMaastrichtChatbot
|
https://paperswithcode.com/paper/metoomaastricht-building-a-chatbot-to-assist
|
#MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment
|
1909.02809
|
none
|
β
Official
|
β No Mention
|
https://github.com/virallab/secim2023_dataset
|
https://paperswithcode.com/paper/secim2023-first-public-dataset-for-studying
|
#Secim2023: First Public Dataset for Studying Turkish General Election
|
2211.13121
|
none
|
β
Official
|
π In Paper
|
https://github.com/idohadi/dqsync-python
|
https://paperswithcode.com/paper/mathrm-se-3-synchronization-by-eigenvectors
|
$ \mathrm{SE} (3) $ Synchronization by Eigenvectors of Dual Quaternion Matrices
|
2307.07640
|
none
|
β
Official
|
π In Paper
|
https://github.com/pipihaiziguai/t3omvp
|
https://paperswithcode.com/paper/text-t-3-omvp-a-transformer-based-time-and
|
$ \text{T}^3 $OMVP: A Transformer-based Time and Team Reinforcement Learning Scheme for Observation-constrained Multi-Vehicle Pursuit in Urban Area
|
2203.00183
|
pytorch
|
β
Official
|
π In Paper
|
https://gitlab.com/mborisyak/ope
|
https://paperswithcode.com/paper/1-varepsilon-class-classification-an-anomaly
|
$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets
|
1906.06096
|
tf
|
β
Official
|
π In Paper
|
https://github.com/Felipe-Gomez/gdp-numeric
|
https://paperswithcode.com/paper/varepsilon-d-considered-harmful-best
|
$(\varepsilon, Ξ΄)$ Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees
|
2503.10945
|
none
|
β
Official
|
π On GitHub
|
https://github.com/akononovicius/flicker-snorp
|
https://paperswithcode.com/paper/1-f-noise-from-the-sequence-of-non
|
$1/f$ noise from the sequence of nonoverlapping rectangular pulses
|
2210.11792
|
none
|
β
Official
|
π In Paper
|
https://github.com/apoorvkh/academic-pretraining
|
https://paperswithcode.com/paper/100k-or-100-days-trade-offs-when-pre-training
|
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
|
2410.23261
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/dtsok/2-ft-sc-o
|
https://paperswithcode.com/paper/2-fault-tolerant-strong-connectivity-oracles
|
$2$-Fault-Tolerant Strong Connectivity Oracles
|
2311.00854
|
none
|
β
Official
|
π In Paper
|
https://gitlab.com/sarobidy19/3-setwise-intersecting-permutations
|
https://paperswithcode.com/paper/3-setwise-intersecting-families-of-the
|
$3$-setwise intersecting families of the symmetric group
|
2010.00229
|
none
|
β
Official
|
π In Paper
|
https://github.com/david9dragon9/air
|
https://paperswithcode.com/paper/air-2-for-interaction-prediction
|
$AIR^2$ for Interaction Prediction
|
2111.08184
|
tf
|
β
Official
|
π In Paper
|
https://isspns-gitlab.issp.u-tokyo.ac.jp/k-yoshimi/physrevresearch_vol3_page043224_year2021
|
https://paperswithcode.com/paper/ab-initio-derivation-and-exact
|
$Ab$ $initio$ derivation and exact-diagonalization analysis of low-energy effective Hamiltonians for $Ξ²^\prime$-X[Pd(dmit)$_2$]$_2$
|
2109.10542
|
none
|
β
Official
|
β No Mention
|
https://github.com/chartsquared/c-2
|
https://paperswithcode.com/paper/c-2-scalable-auto-feedback-for-llm-based
|
$C^2$: Scalable Auto-Feedback for LLM-based Chart Generation
|
2410.18652
|
none
|
β
Official
|
π In Paper
|
https://github.com/crisostomi/cycle-consistent-model-merging
|
https://paperswithcode.com/paper/c-2m-3-cycle-consistent-multi-model-merging
|
$C^2M^3$: Cycle-Consistent Multi-Model Merging
|
2405.17897
|
pytorch
|
β
Official
|
π In Paper
|
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