Skip to content
conftrace_

reasoning capability

106 papers

Papers

R-PRM: Reasoning-Driven Process Reward Modeling EMNLP 2025 RuAG: Learned-rule-augmented Generation for Large Language Models ICLR 2025 Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination EMNLP 2025 SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models EMNLP 2025 Superficial Self-Improved Reasoners Benefit from Model Merging EMNLP 2025 TelAgentBench: A Multi-faceted Benchmark for Evaluating LLM-based Agents in Telecommunications EMNLP 2025 Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning ICLR 2025 The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters ACL 2025 Think, Verbalize, then Speak: Bridging Complex Thoughts and Comprehensible Speech EMNLP 2025 ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use ACL 2025 Tooling or Not Tooling? The Impact of Tools on Language Agents for Chemistry Problem Solving NAACL 2025 “Well, Keep Thinking”: Enhancing LLM Reasoning with Adaptive Injection Decoding ACL 2025 AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models EMNLP 2024 At Which Training Stage Does Code Data Help LLMs Reasoning? ICLR 2024 AutoPSV: Automated Process-Supervised Verifier NeurIPS 2024 Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning ACL 2024 Causal language modeling can elicit search and reasoning capabilities on logic puzzles NeurIPS 2024 Chain-of-Thought Reasoning Without Prompting NeurIPS 2024 CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition Evaluation AAAI 2024 ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models NeurIPS 2024 CriticBench: Benchmarking LLMs for Critique-Correct Reasoning ACL 2024 FOLIO: Natural Language Reasoning with First-Order Logic EMNLP 2024 Graph of Thoughts: Solving Elaborate Problems with Large Language Models AAAI 2024 GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification Approach ACL 2024 Improving Language Model Reasoning with Self-motivated Learning COLING 2024