Papers
Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Framework
Yuting Hu, Dancheng Liu, Qingyun Wang 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.
Hand by Hand: LLM Driving EMS Assistant for Operational Skill Learning
Wei Xiang, Ziyue Lei, Haoyuan Che et al.
Empowering LLMs with Logical Reasoning: A Comprehensive Survey
Fengxiang Cheng, Haoxuan Li, Fenrong Liu et al.
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
Chenxi Liu, Shaowen Zhou, Qianxiong Xu et al.
Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives
Sara Sarto, Marcella Cornia, Rita Cucchiara
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
Sheila Schoepp, Masoud Jafaripour, Yingyue Cao et al.
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.
A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning
Xuejiao Zhao, Siyan Liu, Su-Yin Yang 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
Exploring Automatic Evaluation Methods based on a Decoder-based LLM for Text Generation
Tomohito Kasahara, Daisuke Kawahara
Few-Shot Adaptation for Parsing Contextual Utterances with LLMs
Kevin Lin, Patrick Xia, Hao Fang
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.
“Dr LLM, what do I have?”: The Impact of User Beliefs and Prompt Formulation on Health Diagnoses
Wojciech Kusa, Edoardo Mosca, Aldo Lipani
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.