大模型推理能力

Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models

Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments EACL 2024

LLM Harmony: Multi-Agent Communication for Problem Solving

Sumedh Rasal

专题命中 复杂问题求解 ：reasoning(abstract)；chain-of-thought(abstract)

LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models

Qianxi Li, Yingyue Cao, Jikun Kang, Tianpei Yang, Xi Chen, Jun Jin, Matthew E. Taylor

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Paper accepted in Human-Centric Representation Learning workshop at AAAI 2024 (https://hcrl-workshop.github.io/2024/)

Intelligent Virtual Assistants with LLM-based Process Automation

Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Longfei Li, Jinjie Gu, Chenyi Zhuang

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents

James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan O Arik, Yan Liu, Tomas Pfister

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation

Zineng Tang, Ziyi Yang, Mahmoud Khademi, Yang Liu, Chenguang Zhu, Mohit Bansal

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Project Page: https://codi-2.github.io/

ANPL: Towards Natural Programming with Interactive Decomposition

Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

ToolTalk: Evaluating Tool-Usage in a Conversational Setting

Nicholas Farn, Richard Shin

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 10 pages, 1 figure, ICLR 2024 Submission, https://github.com/microsoft/ToolTalk

Data-Centric Financial Large Language Models

Zhixuan Chu, Huaiyu Guo, Xinyuan Zhou, Yijia Wang, Fei Yu, Hong Chen, Wanqing Xu, Xin Lu, Qing Cui, Longfei Li, Jun Zhou, Sheng Li

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics

Sajad Mousavi, Ricardo Luna Gutiérrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar

专题命中 复杂问题求解 ：self-correction(abstract)；分类 cs.CL、cs.AI、cs.LG

Journal ref NeurIPS 2023 Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models 2023(NeurIPS 2023)

Faith and Fate: Limits of Transformers on Compositionality

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, Yejin Choi

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 10 pages + appendix (40 pages)

Eliciting Human Preferences with Language Models

Belinda Z. Li, Alex Tamkin, Noah Goodman, Jacob Andreas

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 26 pages, 15 figures

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 30 pages, 2 figures, 12 tables

Tackling Vision Language Tasks Through Learning Inner Monologues

Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey

Shihan Dou, Junjie Shan, Haoxiang Jia, Wenhao Deng, Zhiheng Xi, Wei He, Yueming Wu, Tao Gui, Yang Liu, Xuanjing Huang

专题命中 复杂问题求解 ：reasoning(abstract)；chain-of-thought(abstract)

Comments 13 pages, 3 figures

Compositional Exemplars for In-context Learning

Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted in ICML 2023

GPT4GEO: How a Language Model Sees the World's Geography

Jonathan Roberts, Timo Lüddecke, Sowmen Das, Kai Han, Samuel Albanie

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Let's Verify Step by Step

Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Large Language Model Guided Tree-of-Thought

Jieyi Long

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering

Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William Cohen

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted by EACL 2023

SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph

Yuxing Long, Binyuan Hui, Fulong Ye, Yanyang Li, Zhuoxin Han, Caixia Yuan, Yongbin Li, Xiaojie Wang

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments AAAI 2023

Is a Question Decomposition Unit All We Need?

Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments EMNLP 2022 (17 pages)

Deep Bidirectional Language-Knowledge Graph Pretraining

Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D Manning, Percy Liang, Jure Leskovec

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Published at NeurIPS 2022. Code, data, and trained models are available at https://github.com/michiyasunaga/dragon

Science Checker: Extractive-Boolean Question Answering For Scientific Fact Checking

Loïc Rakotoson, Charles Letaillieur, Sylvain Massip, Fréjus Laleye

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 8 pages, 4 figures

Journal ref Proceedings of the 1st International Workshop on Multimedia AI against Disinformation (2022)

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization

Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments NAACL 2021 (14 pages)

RTFM: Generalising to Novel Environment Dynamics via Reading

Victor Zhong, Tim Rocktäschel, Edward Grefenstette

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments ICLR 2020; 17 pages, 13 figures

FARSIQA: Faithful and Advanced RAG System for Islamic Question Answering

Mohammad Aghajani Asl, Behrooz Minaei Bidgoli

专题命中 复杂问题求解 ：reasoning(abstract,comments)；分类 cs.CL、cs.AI

Comments 37 pages, 5 figures, 10 tables. Keywords: Retrieval-Augmented Generation (RAG), Question Answering (QA), Islamic Knowledge Base, Faithful AI, Persian NLP, Multi-hop Reasoning, Large Language Models (LLMs)

Finding the Sweet Spot: Trading Quality, Cost, and Speed During Inference-Time LLM Reflection

Jack Butler, Nikita Kozodoi, Zainab Afolabi, Brian Tyacke, Gaiar Baimuratov

机构 * Amazon Web Services（亚马逊网络服务） ； Zalando 纠错

专题命中 复杂问题求解 ：reasoning(abstract,journal_ref)；分类 cs.AI、cs.LG

Journal ref Neural Information Processing Systems (NeurIPS 2025) Workshop: Efficient Reasoning

AGENTIQL: An Agent-Inspired Multi-Expert Framework for Text-to-SQL Generation

Omid Reza Heidari, Siobhan Reid, Yassine Yaakoubi

机构 * Concordia University（康科德大学） 纠错

专题命中 复杂问题求解 ：reasoning(abstract,comments)；分类 cs.CL、cs.AI

Comments Accepted at NeurIPS 2025, ER "Efficient Reasoning" workshop

Incorporating LLMs for Large-Scale Urban Complex Mobility Simulation

Yu-Lun Song, Chung-En Tsern, Che-Cheng Wu, Yu-Ming Chang, Syuan-Bo Huang, Wei-Chu Chen, Michael Chia-Liang Lin, Yu-Ta Lin

专题命中 复杂问题求解 ：planning(abstract,comments)；分类 cs.CL、cs.AI

Comments 8 pages, 8 figures. This paper is reviewed and accepted by the CUPUM (Computational Urban Planning and Urban Management) Conference held by University College London (UCL) in 2025