Papers
Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT
Biru Zhu, Lifan Yuan, Ganqu Cui et al.
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline
Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue et al.
LLM-Pruner: On the Structural Pruning of Large Language Models
Xinyin Ma, Gongfan Fang, Xinchao Wang
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng et al.
Which is better? Exploring Prompting Strategy For LLM-based Metrics
JoongHoon Kim, Sangmin Lee, Seung Hun Han et al.
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
Dongfu Jiang, Xiang Ren, Bill Yuchen Lin
LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa
Rahul Mehta, Vasudeva Varma
LLM-FP4: 4-Bit Floating-Point Quantized Transformers
Shih-yang Liu, Zechun Liu, Xijie Huang et al.
LLM-powered Data Augmentation for Enhanced Cross-lingual Performance
Chenxi Whitehouse, Monojit Choudhury, Alham Fikri Aji
Towards LLM-driven Dialogue State Tracking
Yujie Feng, Zexin Lu, Bo Liu et al.
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
Zhiqiang Hu, Lei Wang, Yihuai Lan et al.
LLM-enhanced Self-training for Cross-domain Constituency Parsing
Jianling Li, Meishan Zhang, Peiming Guo et al.
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
Indira Sen, Dennis Assenmacher, Mattia Samory et al.
Token Prediction as Implicit Classification to Identify LLM-Generated Text
Yutian Chen, Hao Kang, Vivian Zhai et al.
LLM-driven Instruction Following: Progresses and Concerns
Wenpeng Yin, Qinyuan Ye, Pengfei Liu et al.
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools
Jingwei Ni, Julia Bingler, Chiara Colesanti-Senni et al.
InsightPilot: An LLM-Empowered Automated Data Exploration System
Pingchuan Ma, Rui Ding, Shuai Wang et al.
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications
Bhaktipriya Radharapu, Kevin Robinson, Lora Aroyo et al.
A Framework for Exploring Player Perceptions of LLM-Generated Dialogue in Commercial Video Games
Nader Akoury, Qian Yang, Mohit Iyyer
“Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference Letters
Yixin Wan, George Pu, Jiao Sun et al.
Ranking LLM-Generated Loop Invariants for Program Verification
Saikat Chakraborty, Shuvendu Lahiri, Sarah Fakhoury et al.
LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku
Empowering a Metric with LLM-assisted Named Entity Annotation: HW-TSC’s Submission to the WMT23 Metrics Shared Task
Zhanglin Wu, Yilun Liu, Min Zhang et al.
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
Chan Hee Song, Jiaman Wu, Clayton Washington et al.