Papers
2,781 papers found
Learning Preference Model for LLMs via Automatic Preference Data Generation
Shijia Huang, Jianqiao Zhao, Yanyang Li et al.
Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews
Hye Yun, Iain Marshall, Thomas Trikalinos et al.
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
Minje Choi, Jiaxin Pei, Sagar Kumar et al.
Unlearn What You Want to Forget: Efficient Unlearning for LLMs
Jiaao Chen, Diyi Yang
Let’s Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs
Pranjal Aggarwal, Aman Madaan, Yiming Yang et al.
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation
Jason Lucas, Adaku Uchendu, Michiharu Yamashita et al.
A Frustratingly Easy Post-Training Quantization Scheme for LLMs
Yongkweon Jeon, Chungman Lee, Kyungphil Park et al.
Zero-Shot Multi-Label Topic Inference with Sentence Encoders and LLMs
Souvika Sarkar, Dongji Feng, Shubhra Kanti Karmaker Santu
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Jonas Golde, Patrick Haller, Felix Hamborg et al.
Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs
Binfeng Xu, Xukun Liu, Hua Shen et al.
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization
Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko et al.
Harnessing LLMs for Temporal Data - A Study on Explainable Financial Time Series Forecasting
Xinli Yu, Zheng Chen, Yanbin Lu
ViGPTQA - State-of-the-Art LLMs for Vietnamese Question Answering: System Overview, Core Models Training, and Evaluations
Minh Thuan Nguyen, Khanh Tung Tran, Nhu Van Nguyen et al.
DELPHI: Data for Evaluating LLMs’ Performance in Handling Controversial Issues
David Sun, Artem Abzaliev, Hadas Kotek et al.
SoulChat: Improving LLMs’ Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations
Yirong Chen, Xiaofen Xing, Jingkai Lin et al.
Perceptual Structure in the absence of grounding: the impact of abstractedness and subjectivity in color language for LLMs
Pablo Loyola, Edison Marrese-Taylor, Andres Hoyos-Idrobo
Harnessing the power of LLMs: Evaluating human-AI text co-creation through the lens of news headline generation
Zijian Ding, Alison Smith-Renner, Wenjuan Zhang et al.
Watermarking LLMs with Weight Quantization
Linyang Li, Botian Jiang, Pengyu Wang et al.
Exploring the Sensitivity of LLMs’ Decision-Making Capabilities: Insights from Prompt Variations and Hyperparameters
Manikanta Loya, Divya Sinha, Richard Futrell
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi et al.
Probing LLMs for hate speech detection: strengths and vulnerabilities
Sarthak Roy, Ashish Harshvardhan, Animesh Mukherjee et al.
Probing LLMs for Joint Encoding of Linguistic Categories
Giulio Starace, Konstantinos Papakostas, Rochelle Choenni et al.
POSQA: Probe the World Models of LLMs with Size Comparisons
Chang Shu, Jiuzhou Han, Fangyu Liu et al.
“You Are An Expert Linguistic Annotator”: Limits of LLMs as Analyzers of Abstract Meaning Representation
Allyson Ettinger, Jena Hwang, Valentina Pyatkin et al.
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models
Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai et al.