Who cites «Abductive Commonsense Reasoning» · page 2

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

A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Textual Dataset for Situated Proactive Response Selection — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond — 2023 · arXiv:2306.09841
CALM-Bench: A Multi-task Benchmark for Evaluating Causality-Aware Language Models — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CLadder: Assessing Causal Reasoning in Language Models — 2023 · arXiv:2312.04350
COGEN: Abductive Commonsense Language Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CReTIHC: Designing Causal Reasoning Tasks about Temporal Interventions and Hallucinated Confoundings — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Can Large Language Models Infer Causation from Correlation? — 2023 · arXiv:2306.05836
Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Commonsense Knowledge Transfer for Pre-trained Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Commonsense Reasoning for Conversational AI: A Survey of the State of the Art — 2023 · arXiv:2302.07926
Contrastive Learning for Inference in Dialogue — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Crystal: Introspective Reasoners Reinforced with Self-Feedback — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Curating Datasets for Better Performance with Example Training Dynamics — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Curing the SICK and Other NLI Maladies — 2023 · Computational Linguistics
Defining a New NLP Playground — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers — 2023 · Findings of the Association for Computational Linguistics: ACL 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
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets — 2023 · arXiv:2307.10928
Few-shot Adaptation Works with UnpredicTable Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems — 2023 · arXiv:2310.01991
Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language — 2023 · arXiv:2306.02797
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Knowledge Graph Compression Enhances Diverse Commonsense Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Knowledge Rumination for Pre-trained Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Large Language Models are Better Reasoners with Self-Verification — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Large Language Models for Generative Information Extraction: A Survey — 2023 · arXiv:2312.17617
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)
Learning to Predict Task Transferability via Soft Prompt — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Logical Reasoning over Natural Language as Knowledge Representation: A Survey — 2023 · arXiv:2303.12023
Making Language Models Better Reasoners with Step-Aware Verifier — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Multi-modal Action Chain Abductive Reasoning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Natural Language Reasoning, A Survey — 2023 · arXiv:2303.14725
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
On Degrees of Freedom in Defining and Testing Natural Language Understanding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
PASTA: A Dataset for Modeling PArticipant STAtes in Narratives — 2023 · Transactions of the Association for Computational Linguistics
Pre-Training to Learn in Context — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
RECKONING: Reasoning through Dynamic Knowledge Encoding — 2023 · arXiv:2305.06349
SETI: Systematicity Evaluation of Textual Inference — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Self-Consistent Narrative Prompts on Abductive Natural Language Inference — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
The Generative AI Paradox: "What It Can Create, It May Not Understand — 2023 · arXiv:2311.00059
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
The Web Can Be Your Oyster for Improving Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models — 2023 · arXiv:2310.00836
True Detective: A Deep Abductive Reasoning Benchmark Undoable for GPT-3 and Challenging for GPT-4 — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
Uncovering Implicit Inferences for Improved Relational Argument Mining — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
A Critical Reflection and Forward Perspective on Empathy and Natural Language Processing — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
A Review on Language Models as Knowledge Bases — 2022 · arXiv:2204.06031
A Systematic Investigation of Commonsense Knowledge in Large Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
ACENet: Attention Guided Commonsense Reasoning on Hybrid Knowledge Graph — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
AbductionRules: Training Transformers to Explain Unexpected Inputs — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Aligning Generative Language Models with Human Values — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Analytical Reasoning of Text — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Analyzing Biases to Spurious Correlations in Text Classification Tasks — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models — 2022 · arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Case-Based Abductive Natural Language Inference — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Cloze Evaluation for Deeper Understanding of Commonsense Stories in Indonesian — 2022 · Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Coalescing Global and Local Information for Procedural Text Understanding — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Diffusion-LM Improves Controllable Text Generation — 2022 · arXiv:2205.14217
DiscoSense: Commonsense Reasoning with Discourse Connectives — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
GraDA: Graph Generative Data Augmentation for Commonsense Reasoning — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Hyperdecoders: Instance-specific decoders for multi-task NLP — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Knowledge-Augmented Methods for Natural Language Processing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought — 2022 · arXiv:2210.01240
Leveraging Large Language Models for Multiple Choice Question Answering — 2022 · arXiv:2210.12353
LogicNMR: Probing the Non-monotonic Reasoning Ability of Pre-trained Language Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Natural Language Deduction with Incomplete Information — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
On Curriculum Learning for Commonsense Reasoning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
PaCo: Preconditions Attributed to Commonsense Knowledge — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Reasoning Like Program Executors — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Specializing Pre-trained Language Models for Better Relational Reasoning via Network Pruning — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022