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Reasoning

2595 directly classified papers

Papers per year

Papers

CHECKWHY: Causal Fact Verification via Argument Structure ACL 2024

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? ACL 2024

TaPERA: Enhancing Faithfulness and Interpretability in Long-Form Table QA by Content Planning and Execution-based Reasoning ACL 2024

What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL 2024

Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs ACL 2024

mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models ACL 2024

Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning ACL 2024

Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs ACL 2024

Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations ACL 2024

Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use ACL 2024

CLOMO: Counterfactual Logical Modification with Large Language Models ACL 2024

Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes ACL 2024

CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models ACL 2024

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models ACL 2024

Harnessing Toulmin’s theory for zero-shot argument explication ACL 2024

Do Large Language Models Latently Perform Multi-Hop Reasoning? ACL 2024

DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy ACL 2024

Beyond Recognising Entailment: Formalising Natural Language Inference from an Argumentative Perspective ACL 2024

Improving Large Language Models in Event Relation Logical Prediction ACL 2024

Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning ACL 2024

Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning ACL 2024

Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models ACL 2024

OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models ACL 2024

Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals ACL 2024

Think Twice: Perspective-Taking Improves Large Language Models’ Theory-of-Mind Capabilities ACL 2024