Papers
5,479 papers found
BUST: Benchmark for the evaluation of detectors of LLM-Generated Text
Joseph Cornelius, Oscar Lithgow-Serrano, Sandra Mitrovic et al.
Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph
Zhuang Chen, Jiawen Deng, Jinfeng Zhou et al.
LLM-Driven Knowledge Injection Advances Zero-Shot and Cross-Target Stance Detection
Zhao Zhang, Yiming Li, Jin Zhang et al.
LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues
Joe Stacey, Jianpeng Cheng, John Torr et al.
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems
Jisoo Mok, Mohammad Kachuee, Shuyang Dai et al.
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
Dehai Min, Nan Hu, Rihui Jin et al.
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
Qihui Zhang, Chujie Gao, Dongping Chen et al.
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
Hanjia Lyu, Song Jiang, Hanqing Zeng et al.
Simulating Opinion Dynamics with Networks of LLM-based Agents
Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka et al.
LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages
Jared Coleman, Bhaskar Krishnamachari, Ruben Rosales et al.
LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications
Saranya Krishnamoorthy, Ayush Singh, Shabnam Tafreshi
WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction
Augustin Toma, Ronald Xie, Steven Palayew et al.
APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching
Kun Qian, Yisi Sang, Farima Fatahi Bayat et al.
Properties and Challenges of LLM-Generated Explanations
Jenny Kunz, Marco Kuhlmann
Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels
Nicholas Pangakis, Sam Wolken
Werkzeug at SemEval-2024 Task 8: LLM-Generated Text Detection via Gated Mixture-of-Experts Fine-Tuning
Youlin Wu, Kaichun Wang, Kai Ma et al.
TM-TREK at SemEval-2024 Task 8: Towards LLM-Based Automatic Boundary Detection for Human-Machine Mixed Text
Xiaoyan Qu, Xiangfeng Meng
SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection
Bradley Allen, Fina Polat, Paul Groth
PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?
Kseniia Petukhova, Roman Kazakov, Ekaterina Kochmar
Saama Technologies at SemEval-2024 Task 2: Three-module System for NLI4CT Enhanced by LLM-generated Intermediate Labels
Hwanmun Kim, Kamal Raj Kanakarajan, Malaikannan Sankarasubbu
Team MLab at SemEval-2024 Task 8: Analyzing Encoder Embeddings for Detecting LLM-generated Text
Kevin Li, Kenan Hasanaliyev, Sally Zhu et al.
An LLM-Based Approach for Insight Generation in Data Analysis
Alberto Sánchez Pérez, Alaa Boukhary, Paolo Papotti et al.
Learning to Summarize from LLM-generated Feedback
Hwanjun Song, Taewon Yun, Yuho Lee et al.
LLM-Based Explicit Models of Opponents for Multi-Agent Games
XiaoPeng Yu, Wanpeng Zhang, Zongqing Lu
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
Siyu Yuan, Kaitao Song, Jiangjie Chen et al.