Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning»

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

Pages: 1 · 2 · 3

  1. A Systematic Survey of Automatic Prompt Optimization Techniques — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  2. 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
  3. 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)
  4. Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  5. Culturally-Nuanced Story Generation for Reasoning in Low-Resource Languages: The Case of Javanese and Sundanese — 2025 · arXiv:2502.12932
  6. DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  7. 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
  8. LLMs May Perform MCQA by Selecting the Least Incorrect Option — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  9. NarratEX Dataset: Explaining the Dominant Narratives in News Texts — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  10. 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)
  11. Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  12. 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)
  13. UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  14. Understanding Silent Data Corruption in LLM Training — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  15. ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  16. Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  17. Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model — 2024 · arXiv:2402.07827
  18. BEnQA: A Question Answering Benchmark for Bengali and English — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  19. 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)
  20. 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)
  21. 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)
  22. Continual Learning of Large Language Models: A Comprehensive Survey — 2024 · arXiv:2404.16789
  23. 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)
  24. 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
  25. EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential Reasoning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  26. 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
  27. 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)
  28. 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)
  29. 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)
  30. InstructEval: Systematic Evaluation of Instruction Selection Methods — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  31. Instruction Pre-Training: Language Models are Supervised Multitask Learners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  32. KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  33. LC4EE: LLMs as Good Corrector for Event Extraction — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  34. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks — 2024 · arXiv:2406.18403
  35. Large Language Models Must Be Taught to Know What They Don't Know — 2024 · arXiv:2406.08391
  36. 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)
  37. 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)
  38. 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)
  39. 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
  40. 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
  41. 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)
  42. SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  43. 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
  44. Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  45. The Critique of Critique — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  46. 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)
  47. 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)
  48. mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  49. 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)
  50. 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
  51. An Overview Of Temporal Commonsense Reasoning and Acquisition — 2023 · arXiv:2308.00002
  52. Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  53. Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  54. Benchmarks for Automated Commonsense Reasoning: A Survey — 2023 · arXiv:2302.04752
  55. 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)
  56. CALM-Bench: A Multi-task Benchmark for Evaluating Causality-Aware Language Models — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  57. CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  58. Commonsense Reasoning for Conversational AI: A Survey of the State of the Art — 2023 · arXiv:2302.07926
  59. Decker: Double Check with Heterogeneous Knowledge for Commonsense Fact Verification — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  60. DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning — 2023 · arXiv:2306.09030
  61. 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
  62. 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
  63. Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  64. Exploring the Benefits of Training Expert Language Models over Instruction Tuning — 2023 · arXiv:2302.03202
  65. Few-shot Adaptation Works with UnpredicTable Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  66. 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)
  67. Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  68. Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  69. Instructive Dialogue Summarization with Query Aggregations — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  70. KoRC: Knowledge Oriented Reading Comprehension Benchmark for Deep Text Understanding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  71. Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  72. Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  73. Long-Tailed Question Answering in an Open World — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  74. Natural Language Reasoning, A Survey — 2023 · arXiv:2303.14725
  75. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future — 2023 · arXiv:2309.15402
  76. NormBank: A Knowledge Bank of Situational Social Norms — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  77. Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  78. Pre-Training to Learn in Context — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  79. Prompting with Pseudo-Code Instructions — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  80. QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  81. RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  82. ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  83. Shepherd: A Critic for Language Model Generation — 2023 · arXiv:2308.04592
  84. Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs — 2023 · arXiv:2311.17371
  85. Strength in Numbers: Estimating Confidence of Large Language Models by Prompt Agreement — 2023 · Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023)
  86. TIES-Merging: Resolving Interference When Merging Models — 2023 · arXiv:2306.01708
  87. TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks — 2023 · arXiv:2310.00752
  88. TaskWeb: Selecting Better Source Tasks for Multi-task NLP — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  89. The Flan Collection: Designing Data and Methods for Effective Instruction Tuning — 2023 · arXiv:2301.13688
  90. The Web Can Be Your Oyster for Improving Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  91. Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models — 2023 · arXiv:2310.00836
  92. Unified Demonstration Retriever for In-Context Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  93. Using contradictions improves question answering systems — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  94. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision — 2023 · arXiv:2312.09390
  95. Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation — 2023 · arXiv:2306.05783
  96. Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  97. ``World Knowledge'''' in Multiple Choice Reading Comprehension — 2023 · Proceedings of the Sixth Fact Extraction and VERification Workshop (FEVER)
  98. 常识问答研究综述 — 2023 · 软件学报 (Journal of Software)
  99. A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  100. A Review on Language Models as Knowledge Bases — 2022 · arXiv:2204.06031

Pages: 1 · 2 · 3

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/huang-2019-cosmos-qa-machine-reading-comprehension/