大模型推理能力 - arXivDaily 专题

2408.13273 2024-08-27 cs.CL cs.AI cs.LG 67%

Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting

Geethan Sannidhi, Sagar Srinivas Sakhinana, Venkataramana Runkana

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Paper was accepted at ACM KDD -2024 -- Undergraduate Consortium. Please find the link: https://kdd2024.kdd.org/undergraduate-consortium/

2408.06087 2024-08-13 cs.CL cs.AI cs.LG 67%

Building Decision Making Models Through Language Model Regime

Yu Zhang, Haoxiang Liu, Feijun Jiang, Weihua Luo, Kaifu Zhang

专题命中规划推理：planning(abstract)；分类 cs.CL、cs.AI、cs.LG

2408.04174 2024-08-09 cs.CL cs.AI cs.IR cs.LG cs.SD eess.AS 67%

wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech

Khai Le-Duc, Quy-Anh Dang, Tan-Hanh Pham, Truong-Son Hy

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Preprint, 32 pages

2407.20990 2024-07-31 cs.AI cs.CL cs.CV cs.HC cs.LG 67%

From Feature Importance to Natural Language Explanations Using LLMs with RAG

Sule Tekkesinoglu, Lars Kunze

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

2407.19256 2024-07-30 cs.AI cs.CL cs.LG 67%

Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Review

Tongyue Shi, Jun Ma, Zihan Yu, Haowei Xu, Minqi Xiong, Meirong Xiao, Yilin Li, Huiying Zhao, Guilan Kong

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 28 pages, 5 figures

2406.14556 2024-07-25 cs.RO cs.CV 67%

Asynchronous Large Language Model Enhanced Planner for Autonomous Driving

Yuan Chen, Zi-han Ding, Ziqin Wang, Yan Wang, Lijun Zhang, Si Liu

专题命中规划推理：reasoning(abstract)；planning(abstract)

Comments ECCV 2024

2405.19883 2024-07-23 cs.LG cs.AI cs.CL 67%

From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems

Jianliang He, Siyu Chen, Fengzhuo Zhang, Zhuoran Yang

专题命中规划推理：planning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 47 pages, accepted by ICML 2024

2309.13193 2024-07-23 cs.HC 67%

SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data

Ye Jin, Ruoxuan Yang, Zhijie Yi, Xiaoxi Shen, Huiling Peng, Xiaoan Liu, Jingli Qin, Jiayang Li, Jintao Xie, Peizhong Gao, Guyue Zhou, Jiangtao Gong

专题命中规划推理：reasoning(abstract)；chain-of-thought(abstract)

Comments 6 pages, 3 figures

2407.11003 2024-07-17 cs.CL cs.AI cs.LG 67%

Using Large Language Models in Public Transit Systems, San Antonio as a case study

Ramya Jonnala, Gongbo Liang, Jeong Yang, Izzat Alsmadi

专题命中规划推理：planning(abstract)；分类 cs.CL、cs.AI、cs.LG

2311.07590 2024-07-16 cs.CL cs.AI cs.LG 67%

Large Language Models can Strategically Deceive their Users when Put Under Pressure

Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

2407.00320 2024-07-02 cs.CL cs.AI cs.LG 67%

LiteSearch: Efficacious Tree Search for LLM

Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Dian Yu, Haitao Mi, Jinsong Su, Dong Yu

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

2406.19693 2024-07-01 cs.RO cs.CV 67%

MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?

Jinming Li, Yichen Zhu, Zhiyuan Xu, Jindong Gu, Minjie Zhu, Xin Liu, Ning Liu, Yaxin Peng, Feifei Feng, Jian Tang

专题命中规划推理：reasoning(abstract)；planning(abstract)

2406.19228 2024-06-28 cs.CL cs.AI cs.LG 67%

Tools Fail: Detecting Silent Errors in Faulty Tools

Jimin Sun, So Yeon Min, Yingshan Chang, Yonatan Bisk

专题命中规划推理：planning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 18 pages, 12 figures

2406.18505 2024-06-27 cs.LG cs.AI cs.CL cs.RO 67%

Mental Modeling of Reinforcement Learning Agents by Language Models

Wenhao Lu, Xufeng Zhao, Josua Spisak, Jae Hee Lee, Stefan Wermter

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments https://lukaswill.github.io/

2406.17520 2024-06-26 cs.CV cs.RO 67%

Tell Me Where You Are: Multimodal LLMs Meet Place Recognition

Zonglin Lyu, Juexiao Zhang, Mingxuan Lu, Yiming Li, Chen Feng

专题命中规划推理：reasoning(abstract)；planning(abstract)

2310.10638 2024-06-25 cs.CL cs.AI cs.LG 67%

In-context Pretraining: Language Modeling Beyond Document Boundaries

Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Gergely Szilvasy, Rich James, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

2401.08743 2024-06-18 cs.AI cs.CL cs.CV cs.LG 67%

MMToM-QA: Multimodal Theory of Mind Question Answering

Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu

专题命中规划推理：planning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments ACL 2024. 26 pages, 11 figures, 7 tables

2402.04333 2024-06-14 cs.CL cs.AI cs.LG 67%

LESS: Selecting Influential Data for Targeted Instruction Tuning

Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments ICML 2024; Code and data are available at https://github.com/princeton-nlp/LESS

2312.07540 2024-06-12 cs.AI cs.CL cs.LG 67%

diff History for Neural Language Agents

Ulyana Piterbarg, Lerrel Pinto, Rob Fergus

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments ICML 2024 version

2406.05183 2024-06-11 cs.LG cs.AI cs.CL 67%

The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More

Ouail Kitouni, Niklas Nolte, Diane Bouchacourt, Adina Williams, Mike Rabbat, Mark Ibrahim

专题命中规划推理：planning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 18 pages, 7 figures

2402.12061 2024-06-06 cs.LG cs.AI cs.CL 67%

All Language Models Large and Small

Zhixun Chen, Yali Du, David Mguni

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

2405.12933 2024-06-04 cs.CL cs.AI cs.LG 67%

Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs

Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun Zhou, Ruoxi Jia, Ming Jin

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments ACL 2024, long paper

2402.07865 2024-05-31 cs.CV cs.AI cs.CL cs.LG 67%

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna, Percy Liang, Thomas Kollar, Dorsa Sadigh

专题命中规划推理：planning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Published at ICML 2024. 22 pages, 11 figures. Training code and models: https://github.com/TRI-ML/prismatic-vlms. Evaluation code: https://github.com/TRI-ML/vlm-evaluation

2405.16413 2024-05-29 cs.AI cs.CL cs.LG stat.AP 67%

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models

Jiankun Wang, Sumyeong Ahn, Taykhoom Dalal, Xiaodan Zhang, Weishen Pan, Qiannan Zhang, Bin Chen, Hiroko H. Dodge, Fei Wang, Jiayu Zhou

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

2405.14169 2024-05-24 cs.CV 67%

Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography

Nhat Chung, Sensen Gao, Tuan-Anh Vu, Jie Zhang, Aishan Liu, Yun Lin, Jin Song Dong, Qing Guo

专题命中规划推理：reasoning(abstract)；planning(abstract)

Comments 12 pages, 5 tables, 5 figures, work in progress

2402.06894 2024-05-17 cs.CL cs.AI cs.LG cs.SD eess.AS 67%

GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators

Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Dong Zhang, Zhehuai Chen, Eng Siong Chng

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 18 pages, Accepted by ACL 2024. This work is open sourced at: https://github.com/YUCHEN005/GenTranslate

2405.05919 2024-05-10 cs.HC 67%

Protecting Human Users Against Cognitive Attacks in Immersive Environments

Yan-Ming Chiou, Bob Price, Chien-Chung Shen, Syed Ali Asif

专题命中规划推理：reasoning(abstract)；planning(abstract)

Comments This is an accepted position statement of CHI 2024 Workshop (Novel Approaches for Understanding and Mitigating Emerging New Harms in Immersive and Embodied Virtual Spaces: A Workshop at CHI 2024)

2405.05226 2024-05-09 cs.RO 67%

SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants

Masoud Moghani, Lars Doorenbos, William Chung-Ho Panitch, Sean Huver, Mahdi Azizian, Ken Goldberg, Animesh Garg

专题命中规划推理：reasoning(abstract)；planning(abstract)

2403.00843 2024-04-29 cs.IR cs.AI cs.CL cs.LG 67%

Large Language Models are Learnable Planners for Long-Term Recommendation

Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng

专题命中规划推理：planning(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 11 pages, 5 figures

2403.14589 2024-04-02 cs.AI cs.CL cs.LG 67%

ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy

Zonghan Yang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

专题命中规划推理：reasoning(abstract)；分类 cs.CL、cs.AI、cs.LG

1. 规划推理 11088 篇

Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting

Building Decision Making Models Through Language Model Regime

wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech

From Feature Importance to Natural Language Explanations Using LLMs with RAG

Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Review

Asynchronous Large Language Model Enhanced Planner for Autonomous Driving

From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems

SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data

Using Large Language Models in Public Transit Systems, San Antonio as a case study

Large Language Models can Strategically Deceive their Users when Put Under Pressure

LiteSearch: Efficacious Tree Search for LLM

MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?

Tools Fail: Detecting Silent Errors in Faulty Tools

Mental Modeling of Reinforcement Learning Agents by Language Models

Tell Me Where You Are: Multimodal LLMs Meet Place Recognition

In-context Pretraining: Language Modeling Beyond Document Boundaries

MMToM-QA: Multimodal Theory of Mind Question Answering

LESS: Selecting Influential Data for Targeted Instruction Tuning

diff History for Neural Language Agents

The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More

All Language Models Large and Small

Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models

Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography

GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators

Protecting Human Users Against Cognitive Attacks in Immersive Environments

SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants

Large Language Models are Learnable Planners for Long-Term Recommendation

ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy