:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Jiayin, Guo, Zhiquang, Ma, Weizhi, Zhang, Min
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2506.14448
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments
by: Huang, Jen-tse, et al.
Published: (2024)

StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning
by: Yu, Yuanqing, et al.
Published: (2024)

Model Editing for LLMs4Code: How Far are We?
by: Li, Xiaopeng, et al.
Published: (2024)

Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs
by: Wang, Siyuan, et al.
Published: (2024)

LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling
by: Zheng, Tong, et al.
Published: (2026)

Teaching Human Behavior Improves Content Understanding Abilities Of LLMs
by: Singh, Somesh, et al.
Published: (2024)

LingGym: How Far Are LLMs from Thinking Like Field Linguists?
by: Yang, Changbing, et al.
Published: (2025)

How Far Are LLMs from Believable AI? A Benchmark for Evaluating the Believability of Human Behavior Simulation
by: Xiao, Yang, et al.
Published: (2023)

LLMs for Relational Reasoning: How Far are We?
by: Li, Zhiming, et al.
Published: (2024)

How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO
by: Ng, Man Tik, et al.
Published: (2024)

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models
by: Wang, Jiayin, et al.
Published: (2024)

How Far Are We? Systematic Evaluation of LLMs vs. Human Experts in Mathematical Contest in Modeling
by: Liu, Yuhang, et al.
Published: (2026)

Diversity of Thought Improves Reasoning Abilities of LLMs
by: Naik, Ranjita, et al.
Published: (2023)

Adaptive Layer-skipping in Pre-trained LLMs
by: Luo, Xuan, et al.
Published: (2025)

Learning Beyond the Surface: How Far Can Continual Pre-Training with LoRA Enhance LLMs' Domain-Specific Insight Learning?
by: Pezeshkpour, Pouya, et al.
Published: (2025)

Large Language Models as Evaluators for Recommendation Explanations
by: Zhang, Xiaoyu, et al.
Published: (2024)

Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method
by: Xia, Tian, et al.
Published: (2024)

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs
by: Zeng, Yi, et al.
Published: (2024)

Improving Fairness in LLMs Through Testing-Time Adversaries
by: Gregio, Isabela Pereira, et al.
Published: (2025)

DORA Explorer: Improving the Exploration Ability of LLMs Without Training
by: Gurjar, Priya, et al.
Published: (2026)

Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality
by: Wu, Taiqiang, et al.
Published: (2026)

How Far Are We From AGI: Are LLMs All We Need?
by: Feng, Tao, et al.
Published: (2024)

Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning
by: Tong, Yongqi, et al.
Published: (2024)

Can LLMs Capture Human Preferences?
by: Goli, Ali, et al.
Published: (2023)

Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension?
by: Srivatsa, KV Aditya, et al.
Published: (2025)

Can LLMs Learn to Map the World from Local Descriptions?
by: Xia, Sirui, et al.
Published: (2025)

Can LLMs Translate Human Instructions into a Reinforcement Learning Agent's Internal Emergent Symbolic Representation?
by: Ma, Ziqi, et al.
Published: (2025)

Understanding the Ability of LLMs to Handle Character-Level Perturbation
by: Zhuo, Anyuan, et al.
Published: (2025)

Distill Visual Chart Reasoning Ability from LLMs to MLLMs
by: He, Wei, et al.
Published: (2024)

Can LLMs "Reason" in Music? An Evaluation of LLMs' Capability of Music Understanding and Generation
by: Zhou, Ziya, et al.
Published: (2024)

Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases
by: Qiu, Pengcheng, et al.
Published: (2025)

ScholarSearch: Benchmarking Scholar Searching Ability of LLMs
by: Zhou, Junting, et al.
Published: (2025)

Do LLMs Have the Generalization Ability in Conducting Causal Inference?
by: Wang, Chen, et al.
Published: (2024)

How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs
by: Zhang, Ran, et al.
Published: (2024)

RareBench: Can LLMs Serve as Rare Diseases Specialists?
by: Chen, Xuanzhong, et al.
Published: (2024)

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning
by: Fei, Zhaoye, et al.
Published: (2025)

Understanding User Experience in Large Language Model Interactions
by: Wang, Jiayin, et al.
Published: (2024)

Enhancing the Geometric Problem-Solving Ability of Multimodal LLMs via Symbolic-Neural Integration
by: Pan, Yicheng, et al.
Published: (2025)

Can LLMs Learn New Concepts Incrementally without Forgetting?
by: Zheng, Junhao, et al.
Published: (2024)

How Deep is Love in LLMs' Hearts? Exploring Semantic Size in Human-like Cognition
by: Yao, Yao, et al.
Published: (2025)