:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Song, Xu, Xiaofei, Deng, Ke, Li, Li, Tian, Lin
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2509.06436
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing the Traditional Chinese Medicine Capabilities of Large Language Model through Reinforcement Learning from AI Feedback
by: Yu, Song, et al.
Published: (2024)

Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
by: Yang, Zhisheng, et al.
Published: (2025)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
by: Hua, Wenyue, et al.
Published: (2024)

SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
by: Jiang, Fengqing, et al.
Published: (2025)

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
by: Zhao, Jun, et al.
Published: (2024)

Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning
by: Zhou, Qinhao, et al.
Published: (2024)

Large Language Models Can Self-Improve in Long-context Reasoning
by: Li, Siheng, et al.
Published: (2024)

$π^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models
by: Do, Quyet V., et al.
Published: (2026)

Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models
by: Xie, Zhifei, et al.
Published: (2025)

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
by: Zhuang, Yuchen, et al.
Published: (2025)

SpotAgent: Grounding Visual Geo-localization in Large Vision-Language Models through Agentic Reasoning
by: Jia, Furong, et al.
Published: (2026)

Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
by: Li, Yitian, et al.
Published: (2024)

ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents
by: Zhang, Zhenyu, et al.
Published: (2025)

Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy
by: Dong, Yihong, et al.
Published: (2026)

TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models
by: Li, Ce, et al.
Published: (2025)

Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
by: Bertsch, Amanda, et al.
Published: (2025)

Detoxification of Large Language Models through Output-layer Fusion with a Calibration Model
by: Tian, Yuanhe, et al.
Published: (2025)

Where Did It Go Wrong? Capability-Oriented Failure Attribution for Vision-and-Language Navigation Agents
by: Chen, Jianming, et al.
Published: (2026)

PlanU: Large Language Model Reasoning through Planning under Uncertainty
by: Deng, Ziwei, et al.
Published: (2025)

Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models
by: Wang, Danqing, et al.
Published: (2024)

G-MemLLM: Gated Latent Memory Augmentation for Long-Context Reasoning in Large Language Models
by: Xu, Xun
Published: (2026)

DocPuzzle: A Process-Aware Benchmark for Evaluating Realistic Long-Context Reasoning Capabilities
by: Zhuang, Tianyi, et al.
Published: (2025)

GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification Approach
by: Cao, Lang
Published: (2023)

Abstract2Appendix: Academic Reviews Enhance LLM Long-Context Capabilities
by: Li, Shengzhi, et al.
Published: (2024)

Just Go Parallel: Improving the Multilingual Capabilities of Large Language Models
by: Qorib, Muhammad Reza, et al.
Published: (2025)

UniMem: Towards a Unified View of Long-Context Large Language Models
by: Fang, Junjie, et al.
Published: (2024)

Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization
by: Li, Yu, et al.
Published: (2026)

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation
by: Zhu, Xunyu, et al.
Published: (2024)

Context-Value-Action Architecture for Value-Driven Large Language Model Agents
by: Zhang, TianZe, et al.
Published: (2026)

ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents
by: Wu, Yong, et al.
Published: (2026)

FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models
by: Zhu, Junyi, et al.
Published: (2024)

Enhancing Multi-Agent Communication through Attention Steering with Context Relevance
by: Zhang, Hongxiang, et al.
Published: (2026)

Revisiting the Travel Planning Capabilities of Large Language Models
by: Zhang, Bo-Wen, et al.
Published: (2026)

COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving Context
by: Wan, Guangya, et al.
Published: (2025)

Large Language Models' Reasoning Stalls: An Investigation into the Capabilities of Frontier Models
by: McGinness, Lachlan, et al.
Published: (2025)

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
by: Li, Shilong, et al.
Published: (2024)

Reasoning Capabilities of Large Language Models on Dynamic Tasks
by: Wong, Annie, et al.
Published: (2025)

Evaluating Consistency and Reasoning Capabilities of Large Language Models
by: Saxena, Yash, et al.
Published: (2024)

Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router
by: Shao, Chenyang, et al.
Published: (2025)

Evaluating Long-Context Reasoning in LLM-Based WebAgents
by: Chung, Andy, et al.
Published: (2025)