Who cites «Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning»

266 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

BizCompass: Benchmarking the Reasoning Capabilities of LLMs in Business Knowledge and Applications — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Truth as a Trajectory: What Internal Representations Reveal About Large Language Model Reasoning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Systematic Survey of Automatic Prompt Optimization Techniques — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Aligning Black-box Language Models with Human Judgments — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
Benchmarking Korean Idiom Understanding: A Comparative Analysis of Local and Global Models — 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Calibrating LLM Confidence by Probing Perturbed Representation Stability — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
CausalEval: Towards Better Causal Reasoning in Language Models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Culturally-Nuanced Story Generation for Reasoning in Low-Resource Languages: The Case of Javanese and Sundanese — 2025 · arXiv:2502.12932
DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Generating Commonsense Reasoning Questions with Controllable Complexity through Multi-step Structural Composition — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Glider: Global and Local Instruction-Driven Expert Router — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
GroundCocoa: A Benchmark for Evaluating Compositional & Conditional Reasoning in Language Models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
JGU Mainz''s Submission to the WMT25 Shared Task on LLMs with Limited Resources for Slavic Languages: MT and QA — 2025 · Proceedings of the Tenth Conference on Machine Translation
KRISTEVA: Close Reading as a Novel Task for Benchmarking Interpretive Reasoning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
KazBench-KK: A Cultural-Knowledge Benchmark for Kazakh — 2025 · Proceedings of the Fourth Workshop on NLP Applications to Field Linguistics
LLMs May Perform MCQA by Selecting the Least Incorrect Option — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models — 2025 · Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models (KnowFM)
NarratEX Dataset: Explaining the Dominant Narratives in News Texts — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
On the Impact of Fine-Tuning on Chain-of-Thought Reasoning — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
PIPER: Benchmarking and Prompting Event Reasoning Boundary of LLMs via Debiasing-Distillation Enhanced Tuning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
PerCoR: Evaluating Commonsense Reasoning in Persian via Multiple-Choice Sentence Completion — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Superpose Task-specific Features for Model Merging — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Towards Quantifying Commonsense Reasoning with Mechanistic Insights — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Understanding Silent Data Corruption in LLM Training — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
\textit D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
AmazUtah_NLP at SemEval-2024 Task 9: A MultiChoice Question Answering System for Commonsense Defying Reasoning — 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model — 2024 · arXiv:2402.07827
BEnQA: A Question Answering Benchmark for Bengali and English — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
CLOMO: Counterfactual Logical Modification with Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Calibration-Tuning: Teaching Large Language Models to Know What They Don''t Know — 2024 · Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024)
Continual Learning of Large Language Models: A Comprehensive Survey — 2024 · arXiv:2404.16789
Desiderata For The Context Use Of Question Answering Systems — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Digital Socrates: Evaluating LLMs through Explanation Critiques — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential Reasoning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Evaluating Intention Detection Capability of Large Language Models in Persuasive Dialogues — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
InstructEval: Systematic Evaluation of Instruction Selection Methods — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Instruction Pre-Training: Language Models are Supervised Multitask Learners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
LC4EE: LLMs as Good Corrector for Event Extraction — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks — 2024 · arXiv:2406.18403
Large Language Models Must Be Taught to Know What They Don't Know — 2024 · arXiv:2406.08391
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
MLT-DR: Multi-Lingual/Task Demonstration Retrieval An Attempt towards Generalized Retriever for In-Context Learning — 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)
McGill NLP Group Submission to the MRL 2024 Shared Task: Ensembling Enhances Effectiveness of Multilingual Small LMs — 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)
Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoning — 2024 · arXiv:2409.19075
Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Multi-Task Learning with Adapters for Plausibility Prediction: Bridging the Gap or Falling into the Trenches? — 2024 · Proceedings of the Fifth Workshop on Insights from Negative Results in NLP
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
On Narrative Question Answering Skills — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
PARADISE: Evaluating Implicit Planning Skills of Language Models with Procedural Warnings and Tips Dataset — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
SCA: Selective Compression Attention for Efficiently Extending the Context Window of Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Text2Afford: Probing Object Affordance Prediction abilities of Language Models solely from Text — 2024 · Proceedings of the 28th Conference on Computational Natural Language Learning
The Critique of Critique — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Think Twice: Perspective-Taking Improves Large Language Models'' Theory-of-Mind Capabilities — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
An Overview Of Temporal Commonsense Reasoning and Acquisition — 2023 · arXiv:2308.00002
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Benchmarks for Automated Commonsense Reasoning: A Survey — 2023 · arXiv:2302.04752
Better Handling Coreference Resolution in Aspect Level Sentiment Classification by Fine-Tuning Language Models — 2023 · Proceedings of the Sixth Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC 2023)
CALM-Bench: A Multi-task Benchmark for Evaluating Causality-Aware Language Models — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Commonsense Reasoning for Conversational AI: A Survey of the State of the Art — 2023 · arXiv:2302.07926
Decker: Double Check with Heterogeneous Knowledge for Commonsense Fact Verification — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning — 2023 · arXiv:2306.09030
Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models? — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Don''t Blame the Annotator: Bias Already Starts in the Annotation Instructions — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Evaluating and Improving the Coreference Capabilities of Machine Translation Models — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Exploring the Benefits of Training Expert Language Models over Instruction Tuning — 2023 · arXiv:2302.03202
Few-shot Adaptation Works with UnpredicTable Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Few-shot Unified Question Answering: Tuning Models or Prompts? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Instructive Dialogue Summarization with Query Aggregations — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing