Paper "large language models" Papers

A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators

Chen Zhang, L. F. D’Haro, Yiming Chen et al.

Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark

Fangjun Li, David C. Hogg, Anthony G. Cohn

Benchmarking Large Language Models in Retrieval-Augmented Generation

Jiawei Chen, Hongyu Lin, Xianpei Han et al.

Code-Style In-Context Learning for Knowledge-Based Question Answering

Zhijie Nie, Richong Zhang, Zhongyuan Wang et al.

CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models

Dan Shi, Chaobin You, Jian-Tao Huang et al.

EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce

Li Yangning, Shirong Ma, Xiaobin Wang et al.

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks

Yingpeng Du, Di Luo, Rui Yan et al.

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations

Likang Wu, Zhaopeng Qiu, Zhi Zheng et al.

Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation

Zhewei Yao, Xiaoxia Wu, Cheng Li et al.

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

Zhenyu Li, Sunqi Fan, Yu Gu et al.

Fluctuation-Based Adaptive Structured Pruning for Large Language Models

Yongqi An, Xu Zhao, Tao Yu et al.

Get an A in Math: Progressive Rectification Prompting

Zhenyu Wu, Meng Jiang, Chao Shen

Graph Neural Prompting with Large Language Models

Yijun Tian, Huan Song, Zichen Wang et al.

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Maciej Besta, Nils Blach, Ales Kubicek et al.

History Matters: Temporal Knowledge Editing in Large Language Model

Xunjian Yin, Jin Jiang, Liming Yang et al.

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models

Yuqi Zhu, Jia Li, Ge Li et al.

How to Protect Copyright Data in Optimization of Large Language Models?

Timothy Chu, Zhao Song, Chiwun Yang

Image Captioning with Multi-Context Synthetic Data

KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning

Debjyoti Mondal, Suraj Modi, Subhadarshi Panda et al.

Knowledge Graph Prompting for Multi-Document Question Answering

Yu Wang, Nedim Lipka, Ryan A. Rossi et al.

Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales

Taeyoon Kwon, Kai Ong, Dongjin Kang et al.

Large Language Models Are Neurosymbolic Reasoners

Meng Fang, Shilong Deng, Yudi Zhang et al.

Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models

Yubin Wang, Xinyang Jiang, De Cheng et al.

MathAttack: Attacking Large Language Models towards Math Solving Ability

Zihao Zhou, Qiufeng Wang, Mingyu Jin et al.

MemoryBank: Enhancing Large Language Models with Long-Term Memory

Wanjun Zhong, Lianghong Guo, Qiqi Gao et al.

MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks

Jingyuan Qi, Minqian Liu, Ying Shen et al.

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model

Mingxin Li, Richong Zhang, Zhijie Nie et al.

NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models

Gengze Zhou, Yicong Hong, Qi Wu

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models

Changhun Lee, Jungyu Jin, Taesu Kim et al.

Preference Ranking Optimization for Human Alignment

Feifan Song, Bowen Yu, Minghao Li et al.

PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine

Chenrui Zhang, Lin Liu, Chuyuan Wang et al.

Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Longchao Da, Minquan Gao, Hua Wei et al.

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting

Lei Shu, Liangchen Luo, Jayakumar Hoskere et al.

SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research

Liangtai Sun, Yang Han, Zihan Zhao et al.

SECap: Speech Emotion Captioning with Large Language Model

Yaoxun Xu, Hangting Chen, Jianwei Yu et al.

SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter

Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng

SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding

Tianyu Yu, Chengyue Jiang, Chao Lou et al.

STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models

Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung et al.

TaskLAMA: Probing the Complex Task Understanding of Language Models

Quan Yuan, Mehran Kazemi, Xin Xu et al.

Task Planning for Object Rearrangement in Multi-Room Environments

Karan Mirakhor, Sourav Ghosh, Dipanjan Das et al.

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries

Xinyi He, Mengyu Zhou, Xinrun Xu et al.

Text-to-Image Generation for Abstract Concepts

Jiayi Liao, Xu Chen, Qiang Fu et al.

UMIE: Unified Multimodal Information Extraction with Instruction Tuning

Lin Sun, Kai Zhang, Qingyuan Li et al.

UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models

Xiaoxi Li, Yujia Zhou, Zhicheng Dou

Working Memory Capacity of ChatGPT: An Empirical Study

Dongyu Gong, Xingchen Wan, Dingmin Wang

Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue

Songhua Yang, Hanjie Zhao, Senbin Zhu et al.

ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization

Shuoran Jiang, Qingcai Chen, Yang Xiang et al.