Papers
2,781 papers found
MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searching
Mingrun Wei, Yeyu Yan, Dong Wang
EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMs
Wenhao Zhu, Yuhang Xie, Guojie Song et al.
Towards the Terminator Economy: Assessing Job Exposure to AI Through LLMs
Emilio Colombo, Fabio Mercorio, Mario Mezzanzanica et al.
Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
Ziyu Ge, Yuhao Wu, Daniel Wai Kit Chin et al.
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLMs
Madhur Jindal, Saurabh Deshpande
What is Behind Homelessness Bias? Using LLMs and NLP to Mitigate Homelessness by Acting on Social Stigma
Jonathan A. Karr Jr., Emory Smith, Matthew Hauenstein et al.
Empowering LLMs with Logical Reasoning: A Comprehensive Survey
Fengxiang Cheng, Haoxuan Li, Fenrong Liu et al.
Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives
Sara Sarto, Marcella Cornia, Rita Cucchiara
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
Ziyang Xiao, Jingrong Xie, Lilin Xu et al.
Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey
Haiyan Yin, Hangwei Qian, Yaxin Shi et al.
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract)
Qianou Ma, Hua Shen, Ken Koedinger et al.
GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs
Longchao Da, Parth Mitesh Shah, Kuan-Ru Liou et al.
Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution
Xiaohan Zheng, Lanning Wei, Yong Li et al.
What If LLMs Can Smell: A Prototype
Xueyi Zhou, Qi Lu, Dong-Kyu Chae
Characterised LLMs Affect its Evaluation of Summary and Translation
Yu-An Lu, Yu-Ting Lin
Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task
Neema Kotonya, Saran Krishnasamy, Joel Tetreault et al.
Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction
Hongjin Kim, Jaewook Lee, Kiyoung Lee et al.
Hidden in Plain Text: Emergence & Mitigation of Steganographic Collusion in LLMs
Yohan Mathew, Ollie Matthews, Robert McCarthy et al.
Multilingual, Not Multicultural: Uncovering the Cultural Empathy Gap in LLMs through a Comparative Empathetic Dialogue Benchmark
Woojin Lee, Yujin Sim, Hongjin Kim et al.
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration
Songyuan Sui, Hongyi Liu, Serena Liu et al.
Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation by Stepwise Decoding with Contrastive Learning
Ying Su, Mingwen Liu, Zhijiang Guo
Exploring Working Memory Capacity in LLMs: From Stressors to Human-Inspired Strategies
Eunjin Hong, Sumin Cho, Juae Kim
Doppelganger-JC: Benchmarking the LLMs’ Understanding of Cross-Lingual Homographs between Japanese and Chinese
Yuka Kitamura, Jiahao Huang, Akiko Aizawa
LLMs Do Not See Age: Assessing Demographic Bias in Automated Systematic Review Synthesis
Favour Y. Aghaebe, Elizabeth A Williams, Tanefa Apekey et al.