语言大模型 / LLM

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Yanwei Li, Yuechen Zhang, Chengyao Wang, Zhisheng Zhong, Yixin Chen, Ruihang Chu, Shaoteng Liu, Jiaya Jia

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

Comments Code and models are available at https://github.com/dvlab-research/MiniGemini

Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models

Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran

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

Comments NAACL 2024 Main Conference. The data is released at https://github.com/Yangyi-Chen/CoTConsistency

Common 7B Language Models Already Possess Strong Math Capabilities

Chen Li, Weiqi Wang, Jingcheng Hu, Yixuan Wei, Nanning Zheng, Han Hu, Zheng Zhang, Houwen Peng

专题命中 推理与问题求解 ：language model(title,abstract)；SFT(abstract)；分类 cs.CL、cs.AI

Multimodal Web Navigation with Instruction-Finetuned Foundation Models

Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum, Yutaka Matsuo, Aleksandra Faust, Shixiang Shane Gu, Izzeddin Gur

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

Comments Accepted to ICLR 2024. Website: https://sites.google.com/view/mm-webnav/

SciAgent: Tool-augmented Language Models for Scientific Reasoning

Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Awadalla, Weizhu Chen

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

LLM-based policy generation for intent-based management of applications

Kristina Dzeparoska, Jieyu Lin, Ali Tizghadam, Alberto Leon-Garcia

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

Comments This article has been accepted for publication in 2023 19th International Conference on Network and Service Management (CNSM), 3rd International Workshop on Analytics for Service and Application Management (AnServApp 2023)

Journal ref 2023 19th International Conference on Network and Service Management (CNSM), 2023, pp. 1-7

SwissNYF: Tool Grounded LLM Agents for Black Box Setting

Somnath Sendhil Kumar, Dhruv Jain, Eshaan Agarwal, Raunak Pandey

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

Ranking LLM-Generated Loop Invariants for Program Verification

Saikat Chakraborty, Shuvendu K. Lahiri, Sarah Fakhoury, Madanlal Musuvathi, Akash Lal, Aseem Rastogi, Aditya Senthilnathan, Rahul Sharma, Nikhil Swamy

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

Comments Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP-findings 2023)

SimLM: Can Language Models Infer Parameters of Physical Systems?

Sean Memery, Mirella Lapata, Kartic Subr

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

Understanding Social Reasoning in Language Models with Language Models

Kanishk Gandhi, Jan-Philipp Fränken, Tobias Gerstenberg, Noah D. Goodman

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

Exposing Attention Glitches with Flip-Flop Language Modeling

Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang

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

Comments v2: NeurIPS 2023 camera-ready + data release

Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages

Libo Qin, Qiguang Chen, Fuxuan Wei, Shijue Huang, Wanxiang Che

专题命中 推理与问题求解 ：prompting(title,abstract)；LLM(abstract)；分类 cs.CL、cs.AI

Comments Accepted at EMNLP2023 Main Conference

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen

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

Comments Published at TMLR 2023

A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis

Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan

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

Comments EMNLP 2023. 18 pages, 19 figures

Getting MoRE out of Mixture of Language Model Reasoning Experts

Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan Boyd-Graber

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

Comments EMNLP 2023 Findings

Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding

Caoyun Fan, Jidong Tian, Yitian Li, Wenqing Chen, Hao He, Yaohui Jin

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

Comments EMNLP2023 Main Conference

Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection

Haodi Zhang, Min Cai, Xinhe Zhang, Chen Jason Zhang, Rui Mao, Kaishun Wu

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

Evaluating Shutdown Avoidance of Language Models in Textual Scenarios

Teun van der Weij, Simon Lermen, Leon lang

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

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving

Wayne Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu

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

Comments Accepted by KDD 2023 ADS track, the 2.0 version of JiuZhang (arxiv:2206.06315v1)

Strategic Reasoning with Language Models

Kanishk Gandhi, Dorsa Sadigh, Noah D. Goodman

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

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering

Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier, Julian Martin Eisenschlos

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

Comments ACL 2023

Distilling Reasoning Capabilities into Smaller Language Models

Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan

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

Comments Accepted at ACL 2023 (Findings)

PaLM-E: An Embodied Multimodal Language Model

Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence

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

Can Foundation Models Wrangle Your Data?

Avanika Narayan, Ines Chami, Laurel Orr, Simran Arora, Christopher Ré

专题命中 推理与问题求解 ：foundation model(title,abstract)；prompting(abstract)；分类 cs.AI、cs.LG

Comments 12 pages, 5 figures; additional experiments, typo corrections, modifications to Section 5 (Research Agenda)

Scaling Instruction-Finetuned Language Models

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping Huang, Andrew Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

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

Comments Public checkpoints: https://huggingface.co/docs/transformers/model_doc/flan-t5

Language Models of Code are Few-Shot Commonsense Learners

Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig

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

Comments EMNLP 2022

Know Thy Reasoner: Not All Language Models Explore Alike

你的模型多样性，而非方法，决定推理策略

Moulik Choraria, Argyrios Gerogiannis, Anirban Das, Supriyo Chakraborty, Sourya Basu, Sambit Sahu, Lav R. Varshney

机构 * UIUC（伊利诺伊大学香槟分校） ； Capital One 纠错

专题命中 推理与问题求解 ：language model(title)；LLM(abstract,abstract_cn)；分类 cs.AI

AI总结 本文提出模型多样性影响推理策略，通过理论框架分析推理不确定性，验证了不同模型在深度精炼和并行采样中的表现差异。

Comments This is a full-length extension of the workshop paper that appeared in the ICLR 2026 Workshop on LLM Reasoning

OP3DSG: Open-Vocabulary Part-Aware 3D Scene Graph Generation for Real-World Environments

OP3DSG：面向真实环境的开放词汇部件感知3D场景图生成

Yirum Kim, Ue-Hwan Kim

机构 * Gwangju Institute of Science and Technology（全州科学技术院） 纠错

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

AI总结 提出OP3DSG框架，通过部件感知检测与融合、几何初始化先验图及LLM精炼，实现开放词汇下对象、交互部件、空间/功能关系及可供性的统一建模，在UniGraph3D基准上达到最优性能。

Comments Accepted to ECCV 2026

Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization

探究优化下上下文与参数化思维链忠实性之间的相互作用

Jingyi Sun, Qianli Wang, Pepa Atanasova, Nils Feldhus, Isabelle Augenstein

机构 * University of Copenhagen（哥本哈根大学） ； Technische Universität Berlin（柏林技术大学） ； German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心（DFKI）） ； BIFOLD – Berlin Institute for the Foundations of Learning and Data（BIFOLD – 柏林学习与数据基础研究院） 纠错

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

AI总结 通过提出统一偏好对齐接口FaithMate，研究上下文与参数化两种思维链忠实性范式在优化下的相互作用，发现两者正相关但不对称，且上下文忠实性指标间存在权衡。

Comments The first two authors contributed equally and share first-authorship

Zero-MELO: Test-Time Evidence Calibration with Multimodal LLMs for Zero-Shot Micro-Gesture Recognition

Zero-MELO：基于多模态大语言模型的测试时证据校准用于零样本微手势识别

Chengyan Wang, Hanliang Xie, Yueyi Yang, Haoyu Chen

机构 * University of Oulu（奥卢大学） ； Peking University（北京大学） 纠错

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

AI总结 该研究针对多模态大语言模型在微手势识别中局部证据不足、分数偏差的瓶颈，提出Zero-MELO框架，结合树搜索、测试时校准与多线索融合，在iMiGUE和MA-52数据集上显著优于Qwen2.5-VL基线。

Comments Accepted by ACM MM 2026