Papers
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin 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.
NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails
Traian Rebedea, Razvan Dinu, Makesh Narsimhan Sreedhar et al.
JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization
Shang-Ching Liu, ShengKun Wang, Tsungyao Chang et al.
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization
Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko et al.
LLM4Vis: Explainable Visualization Recommendation using ChatGPT
Lei Wang, Songheng Zhang, Yun Wang 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.
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding
Zheng Chen, Ziyan Jiang, Fan Yang et al.
DELPHI: Data for Evaluating LLMs’ Performance in Handling Controversial Issues
David Sun, Artem Abzaliev, Hadas Kotek et al.
The Internal State of an LLM Knows When It’s Lying
Amos Azaria, Tom Mitchell
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
Towards Mitigating LLM Hallucination via Self Reflection
Ziwei Ji, Tiezheng Yu, Yan Xu et al.
LLMDet: A Third Party Large Language Models Generated Text Detection Tool
Kangxi Wu, Liang Pang, Huawei Shen et al.
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
Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries
Nishanth Nakshatri, Siyi Liu, Sihao Chen et al.
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.