Papers
2,781 papers found
Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs
Dingjie Song, Wenjun Wang, Shunian Chen et al.
Aligning LLMs with Individual Preferences via Interaction
Shujin Wu, Yi R. Fung, Cheng Qian et al.
Extrapolating to Unknown Opinions Using LLMs
Kexun Zhang, Jane Dwivedi-Yu, Zhaojiang Lin et al.
How Likely Do LLMs with CoT Mimic Human Reasoning?
Guangsheng Bao, Hongbo Zhang, Cunxiang Wang et al.
Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study
Mingyang Song, Mao Zheng, Xuan Luo
PToco: Prefix-based Token-level Collaboration Enhances Reasoning for Multi-LLMs
Yuang Bian, Yupian Lin, Jingping Liu et al.
A Flash in the Pan: Better Prompting Strategies to Deploy Out-of-the-Box LLMs as Conversational Recommendation Systems
Gustavo Adolpho Lucas de Carvalho, Simon Benigeri, Jennifer Healey et al.
A Chain-of-Task Framework for Instruction Tuning of LLMs Based on Chinese Grammatical Error Correction
Xinpeng Liu, Bing Xu, Muyun Yang et al.
AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic
Emad A. Alghamdi, Reem I. Masoud, Deema Alnuhait et al.
Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation
Samin Mahdizadeh Sani, Pouya Sadeghi, Thuy-Trang Vu et al.
Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective
Meizhi Zhong, Chen Zhang, Yikun Lei et al.
Multitask-Bench: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuning
Essa Jan, Nouar Aldahoul, Moiz Ali et al.
MIGRATE: Cross-Lingual Adaptation of Domain-Specific LLMs through Code-Switching and Embedding Transfer
Seongtae Hong, Seungyoon Lee, Hyeonseok Moon et al.
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
Somnath Kumar, Vaibhav Balloli, Mercy Ranjit et al.
medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs
Mingyi Jia, Junwen Duan, Yan Song et al.
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information
Yuxin Wang, MingHua Ma, Zekun Wang et al.
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models
Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav et al.
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking
Dina Pisarevskaya, Arkaitz Zubiaga
Do Current Video LLMs Have Strong OCR Abilities? A Preliminary Study
Yulin Fei, Yuhui Gao, Xingyuan Xian et al.
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems
Xuyang Wu, Shuowei Li, Hsin-Tai Wu et al.
Can LLMs Help Create Grammar?: Automating Grammar Creation for Endangered Languages with In-Context Learning
Piyapath T. Spencer, Nanthipat Kongborrirak
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
Quanjiang Guo, Yihong Dong, Ling Tian et al.
Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark
Zhikun Xu, Yinghui Li, Ruixue Ding et al.
KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions
Yanxu Zhu, Jinlin Xiao, Yuhang Wang et al.
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs
Yi Fang, Moxin Li, Wenjie Wang et al.