:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Zhou, Yujin, Cao, Chuxue, Yang, Jinluan, Wu, Lijun, He, Conghui, Han, Sirui, Guo, Yike
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2601.07296
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving
by: Cao, Chuxue, et al.
Published: (2025)

ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning
by: Pei, Qizhi, et al.
Published: (2025)

L-MARS: Legal Multi-Agent Workflow with Orchestrated Reasoning and Agentic Search
by: Wang, Ziqi, et al.
Published: (2025)

GLARE: Agentic Reasoning for Legal Judgment Prediction
by: Yang, Xinyu, et al.
Published: (2025)

Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification
by: Cao, Chuxue, et al.
Published: (2026)

Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
by: Luo, Haotian, et al.
Published: (2025)

MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
by: Lin, Honglin, et al.
Published: (2025)

MedInsightBench: Evaluating Medical Analytics Agents Through Multi-Step Insight Discovery in Multimodal Medical Data
by: Zhu, Zhenghao, et al.
Published: (2025)

Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability
by: Han, Yujin, et al.
Published: (2024)

Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets
by: Gao, Xin, et al.
Published: (2025)

Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning
by: Fan, Wei, et al.
Published: (2026)

Glance-or-Gaze: Incentivizing LMMs to Adaptively Focus Search via Reinforcement Learning
by: Bai, Hongbo, et al.
Published: (2026)

IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference
by: Yang, Xintong, et al.
Published: (2026)

Evaluating Legal Reasoning Traces with Legal Issue Tree Rubrics
by: Lee, Jinu, et al.
Published: (2025)

ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search
by: Zhang, Yize, et al.
Published: (2025)

DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning
by: Chan, Chi-Min, et al.
Published: (2026)

Search-o1: Agentic Search-Enhanced Large Reasoning Models
by: Li, Xiaoxi, et al.
Published: (2025)

Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
by: Tang, Zinan, et al.
Published: (2025)

DeepRead: Document Structure-Aware Reasoning to Enhance Agentic Search
by: Li, Zhanli, et al.
Published: (2026)

SafeLawBench: Towards Safe Alignment of Large Language Models
by: Cao, Chuxue, et al.
Published: (2025)

LegalReasoner: Step-wised Verification-Correction for Legal Judgment Reasoning
by: Shi, Weijie, et al.
Published: (2025)

From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms
by: Luo, Jinghao, et al.
Published: (2026)

SafeMT: Multi-turn Safety for Multimodal Language Models
by: Zhu, Han, et al.
Published: (2025)

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools
by: Wu, Junde, et al.
Published: (2025)

Automated Item Neutralization for Non-Cognitive Scales: A Large Language Model Approach to Reducing Social-Desirability Bias
by: Wu, Sirui, et al.
Published: (2025)

MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Elucidation
by: Han, Taolin, et al.
Published: (2026)

SIGMA: Search-Augmented On-Demand Knowledge Integration for Agentic Mathematical Reasoning
by: Asgarov, Ali, et al.
Published: (2025)

Benchmarking Multi-National Value Alignment for Large Language Models
by: Shi, Weijie, et al.
Published: (2025)

LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning
by: Wang, Jianing, et al.
Published: (2026)

Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning
by: Zhou, Yue, et al.
Published: (2026)

PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference
by: Ji, Jiaming, et al.
Published: (2024)

MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
by: Pei, Qizhi, et al.
Published: (2025)

A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis
by: Gao, Xin, et al.
Published: (2025)

Measuring Hong Kong Massive Multi-Task Language Understanding
by: Cao, Chuxue, et al.
Published: (2025)

Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty
by: Wu, Peilin, et al.
Published: (2025)

Agentic Reasoning for Large Language Models
by: Wei, Tianxin, et al.
Published: (2026)

Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
by: Tang, Xiangru, et al.
Published: (2025)

BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
by: Wang, Teng, et al.
Published: (2024)

OASES: Outcome-Aligned Search-Evaluation Co-Training for Agentic Search
by: Zhang, Erhan, et al.
Published: (2026)

CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search
by: Zeng, Hansi, et al.
Published: (2026)