:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Qi, Ruiyan, Wen, Congding, Zhou, Weibo, Li, Jiwei, Liang, Shangsong, Li, Lingbo
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2508.11280
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation
by: Zhou, Weibo, et al.
Published: (2025)

Intrinsic Mutual Information as a Modulator for Preference Optimization
by: Liao, Peng, et al.
Published: (2026)

CLEX: Continuous Length Extrapolation for Large Language Models
by: Chen, Guanzheng, et al.
Published: (2023)

Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively
by: Gu, Jiawei, et al.
Published: (2025)

What Level of Automation is "Good Enough"? A Benchmark of Large Language Models for Meta-Analysis Data Extraction
by: Li, Lingbo, et al.
Published: (2025)

A Multi-Aspect Framework for Counter Narrative Evaluation using Large Language Models
by: Jones, Jaylen, et al.
Published: (2024)

Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models
by: Yue, Linan, et al.
Published: (2024)

Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
by: Lu, Xudong, et al.
Published: (2024)

ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting
by: Cheng, Xiaoxue, et al.
Published: (2024)

FedJudge: Federated Legal Large Language Model
by: Yue, Linan, et al.
Published: (2023)

Syzygy of Thoughts: Improving LLM CoT with the Minimal Free Resolution
by: Li, Chenghao, et al.
Published: (2025)

Evaluating Large Language Models as Expert Annotators
by: Tseng, Yu-Min, et al.
Published: (2025)

TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning
by: Li, Xiang, et al.
Published: (2024)

Automating Expert-Level Medical Reasoning Evaluation of Large Language Models
by: Zhou, Shuang, et al.
Published: (2025)

Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation
by: Cheng, Jiahao, et al.
Published: (2025)

Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
by: Li, Ziyue, et al.
Published: (2024)

ToW: Thoughts of Words Improve Reasoning in Large Language Models
by: Xu, Zhikun, et al.
Published: (2024)

Unveiling Super Experts in Mixture-of-Experts Large Language Models
by: Su, Zunhai, et al.
Published: (2025)

Multi-objective Large Language Model Alignment with Hierarchical Experts
by: Li, Zhuo, et al.
Published: (2025)

$T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
by: Cai, Chengkun, et al.
Published: (2024)

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
by: Yang, Ling, et al.
Published: (2024)

Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language Models
by: Guo, Hongcheng, et al.
Published: (2025)

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation
by: Zhong, Shanshan, et al.
Published: (2023)

Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models
by: Ling, Guoming, et al.
Published: (2026)

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
by: Xu, Benfeng, et al.
Published: (2023)

Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models
by: Huang, Zemin, et al.
Published: (2025)

Cognition-of-Thought Elicits Social-Aligned Reasoning in Large Language Models
by: Zhang, Xuanming, et al.
Published: (2025)

Toward Adaptive Reasoning in Large Language Models with Thought Rollback
by: Chen, Sijia, et al.
Published: (2024)

MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusion
by: Jiang, Ruixiang, et al.
Published: (2024)

Enhancing Aspect-based Sentiment Analysis in Tourism Using Large Language Models and Positional Information
by: Xu, Chun, et al.
Published: (2024)

The Price of a Second Thought: On the Evaluation of Reasoning Efficiency in Large Language Models
by: Fan, Siqi, et al.
Published: (2025)

Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting
by: Kaneko, Masahiro, et al.
Published: (2024)

Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning
by: Chang, Wen-Yu, et al.
Published: (2024)

Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models
by: Yao, Yao, et al.
Published: (2023)

THINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models
by: Li, Zhiyuan, et al.
Published: (2025)

Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data
by: Li, Rumeng, et al.
Published: (2023)

SoT: Structured-of-Thought Prompting Guides Multilingual Reasoning in Large Language Models
by: Qi, Rui, et al.
Published: (2025)

StreetviewLLM: Extracting Geographic Information Using a Chain-of-Thought Multimodal Large Language Model
by: Li, Zongrong, et al.
Published: (2024)

Evaluating Accounting Reasoning Capabilities of Large Language Models
by: Zhou, Jie, et al.
Published: (2026)

GraphIF: Enhancing Multi-Turn Instruction Following for Large Language Models with Relation Graph Prompt
by: Li, Zhenhe, et al.
Published: (2025)