Who cites «Abductive Commonsense Reasoning» · page 3
- Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- New Protocols and Negative Results for Textual Entailment Data Collection — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Paragraph-level Commonsense Transformers with Recurrent Memory — 2020 · arXiv:2010.01486
- ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Social Commonsense Reasoning with Multi-Head Knowledge Attention — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Thinking Like a Skeptic: Defeasible Inference in Natural Language — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- VisualCOMET: Reasoning about the Dynamic Context of a Still Image — 2020 · arXiv:2004.10796
- Visuo-Linguistic Question Answering (VLQA) Challenge — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- What Can We Learn from Collective Human Opinions on Natural Language Inference Data? — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172
- ajjour-2026-argbench-benchmarking-llms-computational-argumentation
- allaway-2025-evaluating-defeasible-reasoning-llms-defreasing
- ayandosu-2026-ai4pc-howard-university-semeval-2026
- azin-2026-do-language-models-know-theo
- barrett-2024-can-humans-identify-domains
- bian-2024-rule-or-story-which-is
- chang-2024-when-parts-are-greater-than
- chun-2023-cretihc-designing-causal-reasoning-tasks
- feng-2023-learning-predict-task-transferability-soft
- gemechu-2025-natural-language-reasoning-large-language
- ghosh-2024-compare-without-despair-reliable-preference
- goyal-2026-paradise-semeval-2026-task-12
- gu-2024-detectbench-can-large-language-model
- gu-2024-digital-socrates-evaluating-llms-through
- guo-2024-econnli-evaluating-large-language-models
- hao-2022-acenet-attention-guided-commonsense-reasoning
- is-2022-embarrassingly-simple-performance-prediction-abductive
- ishii-2023-contrastive-learning-inference-dialogue
- jeon-2026-do-mllms-capture-how-interfaces
- jeong-2026-team-yty-semeval-2026-task
- jiang-2026-reasoning-combinatorial-constrained-world-benchmarking
- kamath-2026-humans-llms-diverge-probabilistic-inferences
- karafyllis-2026-ails-ntua-semeval-2026-task
- keith-2020-uncertainty-over-uncertainty-investigating-assumptions
- kohli-2025-groundcocoa-benchmark-evaluating-compositional-conditional
- lahnala-2024-appraisal-framework-clinical-empathy-novel
- li-2023-multi-modal-action-chain-abductive
- li-2025-glider-global-local-instruction-driven
- li-2025-hellaswag-pro-large-scale-bilingual
- li-2026-bbgame-semeval-2026-task-12
- lian-2025-beyond-surface-simplicity-revealing-hidden
- liu-2024-are-llms-capable-data-based
- liu-2024-incomplete-loop-deductive-inductive-abductive
- liu-2025-eliciting-improving-causal-reasoning-abilities
- maharana-2022-grada-graph-generative-data-augmentation
- mu-2024-generating-contrastive-narratives-brownian-bridge
- murata-2024-time-aware-comet-commonsense-knowledge
- nair-2021-improving-abstractive-summarization-commonsense-knowledge
- onderkova-2025-insight-discovery-structured-data
- otani-2023-textual-dataset-situated-proactive-response
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- yu-2023-jecc-commonsense-reasoning-tasks-derived
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- zhang-2024-eplsa-synergy-expert-prefix-mixtures
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