大模型推理能力

Synthesizing Behaviorally-Grounded Reasoning Chains: A Data-Generation Framework for Personal Finance LLMs

Akhil Theerthala

机构 * Perfios Software Solutions（Perfios软件解决方案） 纠错

专题命中 推理评测 ：reasoning(title,abstract)；planning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 24 pages, 11 figures. The paper presents a novel framework for generating a personal finance dataset. The resulting fine-tuned model and dataset are publicly available

Posterior-GRPO: Rewarding Reasoning Processes in Code Generation

Lishui Fan, Yu Zhang, Mouxiang Chen, Zhongxin Liu

机构 * College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院） ； The State Key Laboratory of Blockchain and Data Security, Zhejiang University（浙江大学区块链与数据安全国家重点实验室） ； Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security（杭州高新技术区（滨江）区块链与数据安全研究院） 纠错

专题命中 推理评测 ：reasoning(title,abstract)；分类 cs.CL、cs.AI、cs.LG

Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law Evaluation

Abdessalam Bouchekif, Samer Rashwani, Heba Sbahi, Shahd Gaben, Mutaz Al-Khatib, Mohammed Ghaly

机构 * Hamad Bin Khalifa University（哈马德·本·卡西姆大学） 纠错

专题命中 推理评测 ：reasoning(title,abstract)；分类 cs.CL、cs.AI

Comments 10 pages, 7 Tables, Code: https://github.com/bouchekif/inheritance_evaluation

Large Language Models' Reasoning Stalls: An Investigation into the Capabilities of Frontier Models

Lachlan McGinness, Peter Baumgartner

机构 * School of Computer Science, Australian National University and CSIRO（计算机科学学院，澳大利亚国立大学和CSIRO） 纠错

专题命中 推理评测 ：reasoning(title,abstract)；分类 cs.AI

Comments The original version of this article was withdrawn because there were errors in the evaluation of model faithfulness to reasoning strategies and completeness of reasoning. The analysis was re-conducted correctly and version two contains the corrections

Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation

Enci Zhang, Xingang Yan, Wei Lin, Tianxiang Zhang, Qianchun Lu

专题命中 推理评测 ：reasoning(title,abstract)；分类 cs.AI

Comments 14 pages, 3 figs

An Empirical Study on Failures in Automated Issue Solving

Simiao Liu, Fang Liu, Liehao Li, Xin Tan, Yinghao Zhu, Xiaoli Lian, Li Zhang

机构 * Beihang University（北京航空航天大学） ； The University of Hong Kong（香港大学） 纠错

专题命中 推理评测 ：reasoning(abstract)；分类 cs.CL、cs.AI

MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation

Zhipeng Bian, Jieming Zhu, Xuyang Xie, Quanyu Dai, Zhou Zhao, Zhenhua Dong

机构 * Shenzhen University（深圳大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） ； Zhejiang University（浙江大学） 纠错

专题命中 推理评测 ：reasoning(abstract)；分类 cs.AI

Comments Published in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), ACL 2025. Official version: https://doi.org/10.18653/v1/2025.acl-industry.103

Journal ref Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track) ACL 2025 1457-1465

How Does Cognitive Bias Affect Large Language Models? A Case Study on the Anchoring Effect in Price Negotiation Simulations

Yoshiki Takenami, Yin Jou Huang, Yugo Murawaki, Chenhui Chu

机构 * Kyoto University（京都大学） 纠错

专题命中 推理评测 ：reasoning(abstract)；分类 cs.CL

Comments 18 pages, 2 figures. Accepted to EMNLP 2025 findings

TAI Scan Tool: A RAG-Based Tool With Minimalistic Input for Trustworthy AI Self-Assessment

Athanasios Davvetas, Xenia Ziouvelou, Ypatia Dami, Alexios Kaponis, Konstantina Giouvanopoulou, Michael Papademas

专题命中 推理评测 ：reasoning(abstract)；分类 cs.AI

Comments 9 pages, 1 figure, 4 tables

Do Large Language Models Truly Grasp Addition? A Rule-Focused Diagnostic Using Two-Integer Arithmetic

Yang Yan, Yu Lu, Renjun Xu, Zhenzhong Lan

机构 * Zhejiang University（浙江大学） ； School of Engineering, Westlake University（西湖大学工程学院） 纠错

专题命中 推理评测 ：reasoning(abstract)；分类 cs.CL

Comments Accepted by EMNLP'25 Main

Cinéaste: A Fine-grained Contextual Movie Question Answering Benchmark

Nisarg A. Shah, Amir Ziai, Chaitanya Ekanadham, Vishal M. Patel

机构 * Netflix, Inc.（Netflix公司） ； Johns Hopkins University（约翰霍普金斯大学） 纠错

专题命中 推理评测 ：reasoning(abstract)

Comments 11 pages, 5 figures, 5 tables

SPAR: Scalable LLM-based PDDL Domain Generation for Aerial Robotics

Songhao Huang, Yuwei Wu, Guangyao Shi, Gaurav S. Sukhatme, Vijay Kumar

机构 * GRASP Lab, University of Pennsylvania（宾夕法尼亚大学GRASP实验室） ； Department of Computer Science, University of Southern California（南加州大学计算机科学系） 纠错

专题命中 推理评测 ：planning(abstract)

Using Visual Language Models to Control Bionic Hands: Assessment of Object Perception and Grasp Inference

Ozan Karaali, Hossam Farag, Strahinja Dosen, Cedomir Stefanovic

机构 * Department of Electronic Systems, Aalborg University, Denmark（电子系统系，奥胡斯大学） ； Department of Health Science and Technology, Aalborg University, Denmark（健康科学与技术系，奥胡斯大学） 纠错

专题命中 推理评测 ：planning(abstract)

Comments ICAT 2025