:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dai, Xin, Xu, Buqiang, Liu, Zhenghao, Yan, Yukun, Xie, Huiyuan, Yi, Xiaoyuan, Wang, Shuo, Yu, Ge
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2508.12281
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LegalDuet: Learning Fine-grained Representations for Legal Judgment Prediction via a Dual-View Contrastive Learning
by: Xu, Buqiang, et al.
Published: (2024)

LexChain: Modeling Legal Reasoning Chains for Chinese Tort Case Analysis
by: Xie, Huiyuan, et al.
Published: (2025)

Long-Chain Reasoning Distillation via Adaptive Prefix Alignment
by: Liu, Zhenghao, et al.
Published: (2026)

Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning
by: Zhang, Kepu, et al.
Published: (2025)

LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases
by: Cai, Yida, et al.
Published: (2025)

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
by: Duan, Shaohua, et al.
Published: (2025)

ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment
by: Yang, Hao, et al.
Published: (2026)

RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
by: Wu, Mingyan, et al.
Published: (2025)

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation
by: Peng, Chunyi, et al.
Published: (2025)

LegalChainReasoner: A Legal Chain-guided Framework for Criminal Judicial Opinion Generation
by: Shi, Weizhe, et al.
Published: (2025)

ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization
by: Jin, Zhensheng, et al.
Published: (2025)

Pat-DEVAL: Chain-of-Legal-Thought Evaluation for Patent Description
by: Yoo, Yongmin, et al.
Published: (2026)

Benchmarking Multi-Step Legal Reasoning and Analyzing Chain-of-Thought Effects in Large Language Models
by: Yu, Wenhan, et al.
Published: (2025)

Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection
by: Wu, Zhuoyang, et al.
Published: (2025)

Process Supervision for Chain-of-Thought Reasoning via Monte Carlo Net Information Gain
by: Royer, Corentin, et al.
Published: (2026)

Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
by: Liu, Shuliang, et al.
Published: (2025)

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning
by: Huang, Chenxi, et al.
Published: (2025)

Structured Definitions and Segmentations for Legal Reasoning in LLMs: A Study on Indian Legal Data
by: Khatri, Mann, et al.
Published: (2025)

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

Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs
by: Zhu, Yuqi, et al.
Published: (2025)

Exploring the psychology of LLMs' Moral and Legal Reasoning
by: Almeida, Guilherme F. C. F., et al.
Published: (2023)

LegalOne: A Family of Foundation Models for Reliable Legal Reasoning
by: Li, Haitao, et al.
Published: (2026)

Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
by: Liu, Zhenghao, et al.
Published: (2025)

Korean Canonical Legal Benchmark: Toward Knowledge-Independent Evaluation of LLMs' Legal Reasoning Capabilities
by: Oh, Hongseok, et al.
Published: (2025)

ASVRI-Legal: Fine-Tuning LLMs with Retrieval Augmented Generation for Enhanced Legal Regulation
by: Octadion, One, et al.
Published: (2025)

Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
by: Gao, Cheng, et al.
Published: (2024)

COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
by: Yang, Weiqing, et al.
Published: (2024)

CitaLaw: Enhancing LLM with Citations in Legal Domain
by: Zhang, Kepu, et al.
Published: (2024)

Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning
by: Mishra, Venkatesh, et al.
Published: (2025)

Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction
by: Deng, Chenlong, et al.
Published: (2024)

KRAG Framework for Enhancing LLMs in the Legal Domain
by: Thanh, Nguyen Ha, et al.
Published: (2024)

ORACL: Optimized Reasoning for Autoscaling via Chain of Thought with LLMs for Microservices
by: Bai, Haoyu, et al.
Published: (2026)

Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains
by: Xiong, Yuqi, et al.
Published: (2026)

The Cambridge Law Corpus: A Dataset for Legal AI Research
by: Östling, Andreas, et al.
Published: (2023)

Efficient Reasoning for LLMs through Speculative Chain-of-Thought
by: Wang, Jikai, et al.
Published: (2025)

Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrieval
by: Nguyen, Hai-Long, et al.
Published: (2024)

Revealing the Attention Floating Mechanism in Masked Diffusion Models
by: Dai, Xin, et al.
Published: (2026)

A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
by: Xu, Xiaoang, et al.
Published: (2025)

ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling
by: Xu, Zhipeng, et al.
Published: (2024)

SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs
by: Xu, Yige, et al.
Published: (2025)