conftrace_

reasoning ability

52 papers

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Co-occurring keywords

large language model (13587) benchmark evaluation (1556) language model (4599) prompt engineering (1135) knowledge distillation (3725) chain of thought (285) chain-of-thought reasoning (551) question answering (2963) mathematical reasoning (407) small language model (204)

Papers

Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models EMNLP 2025
VSP: Diagnosing the Dual Challenges of Perception and Reasoning in Spatial Planning Tasks for MLLMs ICCV 2025
Large Language Models Exhibit Limited Reasoning Ability on Coding Problems IJCNLP 2025
Self-playing Adversarial Language Game Enhances LLM Reasoning NIPS 2024
On the Inductive Bias of Stacking Towards Improving Reasoning NIPS 2024
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving NIPS 2024
Text2Afford: Probing Object Affordance Prediction abilities of Language Models solely from Text EMNLP 2024
DDPrompt: Differential Diversity Prompting in Large Language Models ACL 2024
The Impact of Reasoning Step Length on Large Language Models ACL 2024
Belief Revision: The Adaptability of Large Language Models Reasoning EMNLP 2024
Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance. EMNLP 2024
When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models NIPS 2024
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes ACL 2024
Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing NIPS 2024
Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations ACL 2024
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? ACL 2024
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models EMNLP 2024
MAmmoTH2: Scaling Instructions from the Web NIPS 2024
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data EMNLP 2023
Getting MoRE out of Mixture of Language Model Reasoning Experts EMNLP 2023
Large Language Models Can Self-Improve EMNLP 2023
Democratizing Reasoning Ability: Tailored Learning from Large Language Model EMNLP 2023
Advancing Visual Grounding With Scene Knowledge: Benchmark and Method CVPR 2023
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA EMNLP 2022
Roses Are Red, Violets Are Blue... but Should VQA Expect Them To? CVPR 2021