Papers
2,781 papers found
From Posts to Timelines: Modeling Mental Health Dynamics from Social Media Timelines with Hybrid LLMs
Zimu Wang, Hongbin Na, Rena Gao et al.
Do Prevalent Bias Metrics Capture Allocational Harms from LLMs?
Hannah Cyberey, Yangfeng Ji, David Evans
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
Aishik Nagar, Viktor Schlegel, Thanh-Tung Nguyen et al.
Evaluating Robustness of LLMs to Numerical Variations in Mathematical Reasoning
Yuli Yang, Hiroaki Yamada, Takenobu Tokunaga
GAVEL: Generative Attribute-Value Extraction Using LLMs on LLM-Augmented Datasets
Pollawat Hongwimol, Dong Sheng, Li Zhang et al.
RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs
Vibha Belavadi, Tushar Vatsa, Dewang Sultania et al.
Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs
Mirazul Haque, Petr Babkin, Farima Farmahinifarahani et al.
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
Alexander Wuttke, Matthias Aßenmacher, Christopher Klamm et al.
Prompting the Past: Exploring Zero-Shot Learning for Named Entity Recognition in Historical Texts Using Prompt-Answering LLMs
Crina Tudor, Beata Megyesi, Robert Östling
Using LLMs to Advance Idiom Corpus Construction
Doğukan Arslan, Hüseyin Anıl Çakmak, Gülşen Eryiğit et al.
Assessing Crowdsourced Annotations with LLMs: Linguistic Certainty as a Proxy for Trustworthiness
Tianyi Li, Divya Sree, Tatiana Ringenberg
A Comparative Analysis of Ethical and Safety Gaps in LLMs using Relative Danger Coefficient
Yehor Tereshchenko, Mika Hämäläinen
VLG-BERT: Towards Better Interpretability in LLMs through Visual and Linguistic Grounding
Toufik Mechouma, Ismail Biskri, Serge Robert
A Comprehensive Evaluation of Cognitive Biases in LLMs
Simon Malberg, Roman Poletukhin, Carolin M. Schuster et al.
Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs
Lynn Greschner, Roman Klinger
Named Entity Inference Attacks on Clinical LLMs: Exploring Privacy Risks and the Impact of Mitigation Strategies
Adam Sutton, Xi Bai, Kawsar Noor et al.
Multi-lingual Multi-turn Automated Red Teaming for LLMs
Abhishek Singhania, Christophe Dupuy, Shivam Sadashiv Mangale et al.
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs
Umesh Bodhwani, Yuan Ling, Shujing Dong et al.
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation
Neeraj Varshney, Satyam Raj, Venkatesh Mishra et al.
Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search
Parsa Ghaffari, Chris Hokamp
Speaker Identification and Dataset Construction Using LLMs: A Case Study on Japanese Narratives
Seiji Gobara, Hidetaka Kamigaito, Taro Watanabe
On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation
Rune Birkmose, Nathan Mørkeberg Reece, Esben Hofstedt Norvin et al.
UMUTeam at SemEval-2023 Task 12: Ensemble Learning of LLMs applied to Sentiment Analysis for Low-resource African Languages
José Antonio García-Díaz, Camilo Caparros-laiz, Ángela Almela et al.