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

HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses Through Reasoning MLLMs AAAI 2026
MIND: From Passive Mimicry to Active Reasoning through Capability-Aware Multi-Perspective CoT Distillation ACL 2026
HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization AAAI 2026
What’s Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning EACL 2026
Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic ACL 2025
DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability EMNLP 2025
Error Reflection Prompting: Can Large Language Models Successfully Understand Errors? NAACL 2025
ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models ACL 2025
Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models EMNLP 2025
StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models EMNLP 2025
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks ACL 2025
Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering EMNLP 2025
Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information EMNLP 2025
An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint EMNLP 2025
Large Language Models Exhibit Limited Reasoning Ability on Coding Problems AACL 2025
Truth Behind the Scene: Designing Evaluations Benchmarks to Assess LLMs’ Task-Specific Understanding over Test-Taking Strategies AAAI 2025
Importance Weighting Can Help Large Language Models Self-Improve AAAI 2025
AnaToM: A Dataset Generation Framework for Evaluating Theory of Mind Reasoning Toward the Anatomy of Difficulty through Structurally Controlled Story Generation IJCNLP 2025
WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging ACL 2025
Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models ACL 2025
StrucText-Eval: Evaluating Large Language Model’s Reasoning Ability in Structure-Rich Text ACL 2025
UniICL: An Efficient ICL Framework Unifying Compression, Selection, and Generation ACL 2025
The Emperor’s New Reasoning: Format Imitation Overshadows Genuine Mathematical Understanding in SFT EMNLP 2025
ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection ACL 2025
Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales EMNLP 2025