语言大模型 / LLM

AGIR: Assessing 3D Gait Impairment with Reasoning based on LLMs

Diwei Wang, Cédric Bobenrieth, Hyewon Seo

机构 * University of Strasbourg（斯特拉斯堡大学） ； CNRS（法国国家科学研究中心） ； Hôpital de la Robsertsau（罗贝尔索医院） 纠错

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；SFT(abstract)

Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data

Zijian Li, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Rui Wang

机构 * Microsoft Research（微软研究院） ； Hong Kong University of Science and Technology（香港科技大学） 纠错

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；prompting(abstract)

Comments Under review

MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research

James Burgess, Jeffrey J Nirschl, Laura Bravo-Sánchez, Alejandro Lozano, Sanket Rajan Gupte, Jesus G. Galaz-Montoya, Yuhui Zhang, Yuchang Su, Disha Bhowmik, Zachary Coman, Sarina M. Hasan, Alexandra Johannesson, William D. Leineweber, Malvika G Nair, Ridhi Yarlagadda, Connor Zuraski, Wah Chiu, Sarah Cohen, Jan N. Hansen, Manuel D Leonetti, Chad Liu, Emma Lundberg, Serena Yeung-Levy

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments CVPR 2025 (Conference on Computer Vision and Pattern Recognition) Project page at https://jmhb0.github.io/microvqa Benchmark at https://huggingface.co/datasets/jmhb/microvqa

Learning from Failures in Multi-Attempt Reinforcement Learning

Stephen Chung, Wenyu Du, Jie Fu

机构 * DualityRL ； Shanghai AI Lab（上海人工智能实验室） 纠错

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments preprint

JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation

Yingbing Huang, Deming Chen, Abhishek K. Umrawal

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 10 pages, 3 figures, and 6 tables

Conversational Planning for Personal Plans

Konstantina Christakopoulou, Iris Qu, John Canny, Andrew Goodridge, Cj Adams, Minmin Chen, Maja Matarić

机构 * Google DeepMind（谷歌DeepMind） ； Google（谷歌） 纠错

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs

Dayu Yang, Tianyang Liu, Daoan Zhang, Antoine Simoulin, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Xin Qian, Grey Yang, Jiebo Luo, Julian McAuley

机构 * Meta AI ； University of California, San Diego（加利福尼亚大学圣迭戈分校） ； University of Rochester（罗切斯特大学） 纠错

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Project Repo: https://github.com/dayuyang1999/Awesome-Code-Reasoning

Do Multilingual LLMs Think In English?

Lisa Schut, Yarin Gal, Sebastian Farquhar

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Main paper 9 pages; including appendix 48 pages

SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs

Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng, Wotao Yin

机构 * School of Computer Science, Wuhan University（武汉大学计算机学院） ； DAMO Academy, Alibaba Group（阿里巴巴达摩院） 纠错

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity

Kaiqu Liang, Zixu Zhang, Jaime Fernández Fisac

机构 * Princeton University（普林斯顿大学） 纠错

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments NeurIPS 2024

Active Task Disambiguation with LLMs

Katarzyna Kobalczyk, Nicolas Astorga, Tennison Liu, Mihaela van der Schaar

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Evolutionary Optimization of Model Merging Recipes

Takuya Akiba, Makoto Shing, Yujin Tang, Qi Sun, David Ha

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；foundation model(abstract)

Comments Authors' submitted version before final edits. Published in Nature Machine Intelligence on January 27, 2025: https://www.nature.com/articles/s42256-024-00975-8

Journal ref Nat Mach Intell (2025)

OneLLM: One Framework to Align All Modalities with Language

Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue

机构 * The Chinese University of Hong Kong（香港中文大学） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） 纠错

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted by CVPR 2024. Code: https://github.com/csuhan/OneLLM

MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection

Taeheon Kim, Sangyun Chung, Damin Yeom, Youngjoon Yu, Hak Gu Kim, Yong Man Ro

机构 * Korea Advanced Institute of Science and Technology (KAIST)（韩国科学技术院（KAIST）） ； Chung-Ang University（中央大学） 纠错

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；prompting(abstract)

Comments IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search

Shuangtao Li, Shuaihao Dong, Kexin Luan, Xinhan Di, Chaofan Ding

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 5 pages, 1 figure, 2 tables accepted by aaai 2025 NeurMAD workshop

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects

Abdullah Mushtaq, Muhammad Rafay Naeem, Ibrahim Ghaznavi, Muhammad Imran Taj, Imran Hashmi, Junaid Qadir

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Nash CoT: Multi-Path Inference with Preference Equilibrium

Ziqi Zhang, Cunxiang Wang, Xiong Xiao, Yue Zhang, Donglin Wang

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Journal ref EMNLP 2024

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future

Shilin Sun, Wenbin An, Feng Tian, Fang Nan, Qidong Liu, Jun Liu, Nazaraf Shah, Ping Chen

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；foundation model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments This work has been submitted to the IEEE for possible publication

Augmenting Math Word Problems via Iterative Question Composing

Haoxiong Liu, Yifan Zhang, Yifan Luo, Andrew Chi-Chih Yao

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Grounding Language Plans in Demonstrations Through Counterfactual Perturbations

Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments ICLR 2024 Spotlight

Journal ref In International Conference on Learning Representations (ICLR) (2024)

MISR: Measuring Instrumental Self-Reasoning in Frontier Models

Kai Fronsdal, David Lindner

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 10 pages, 65 page appendix, 5 figures

Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation

Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted by WSDM 2025

LLMs Can Evolve Continually on Modality for X-Modal Reasoning

Jiazuo Yu, Haomiao Xiong, Lu Zhang, Haiwen Diao, Yunzhi Zhuge, Lanqing Hong, Dong Wang, Huchuan Lu, You He, Long Chen

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；pretraining(abstract)；分类 cs.CL、cs.AI、cs.LG

Mars: Situated Inductive Reasoning in an Open-World Environment

Xiaojuan Tang, Jiaqi Li, Yitao Liang, Song-chun Zhu, Muhan Zhang, Zilong Zheng

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted by NeurIPS 2024 Track Datasets and Benchmarks. Project page: https://marscrafter.github.io/

MARCO: Multi-Agent Real-time Chat Orchestration

Anubhav Shrimal, Stanley Kanagaraj, Kriti Biswas, Swarnalatha Raghuraman, Anish Nediyanchath, Yi Zhang, Promod Yenigalla

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments EMNLP 2024 Industry Track

Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning

Debargha Ganguly, Srinivasan Iyengar, Vipin Chaudhary, Shivkumar Kalyanaraman

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 38th Conference on Neural Information Processing Systems (NeurIPS 2024) System 2 Reasoning At Scale Workshop

EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AI

Tomoyuki Kagaya, Yuxuan Lou, Thong Jing Yuan, Subramanian Lakshmi, Jayashree Karlekar, Sugiri Pranata, Natsuki Murakami, Akira Kinose, Koki Oguri, Felix Wick, Yang You

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration

Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI、cs.LG

Many-Shot In-Context Learning

Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Luis Rosias, Stephanie Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；pretraining(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments NeurIPS (Spotlight)

Investigating the Transferability of Code Repair for Low-Resource Programming Languages

Kyle Wong, Alfonso Amayuelas, Liangming Pan, William Yang Wang

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG