Papers
Beyond Binary Gender Labels: Revealing Gender Bias in LLMs through Gender-Neutral Name Predictions
Zhiwen You, HaeJin Lee, Shubhanshu Mishra et al.
From ‘Showgirls’ to ‘Performers’: Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs
Marion Bartl, Susan Leavy
Pause-Aware Automatic Dubbing using LLM and Voice Cloning
Yuang Li, Jiaxin Guo, Min Zhang et al.
Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems
Frank Palma Gomez, Ramon Sanabria, Yun-hsuan Sung et al.
Conditioning LLMs with Emotion in Neural Machine Translation
Charles Brazier, Jean-Luc Rouas
Blending LLMs into Cascaded Speech Translation: KIT’s Offline Speech Translation System for IWSLT 2024
Sai Koneru, Thai Binh Nguyen, Ngoc-Quan Pham et al.
Analysis of LLM’s “Spurious” Correct Answers Using Evidence Information of Multi-hop QA Datasets
Ai Ishii, Naoya Inoue, Hisami Suzuki et al.
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters
Daniil Gurgurov, Mareike Hartmann, Simon Ostermann
STAGE: Simplified Text-Attributed Graph Embeddings using Pre-trained LLMs
Aaron Zolnai-Lucas, Jack Boylan, Chris Hokamp et al.
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation
Yuxin Liang, Zhuoyang Song, Hao Wang et al.
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs
Ye Liu, Rui Meng, Meghana Moorthy Bhat et al.
ChatMol Copilot: An Agent for Molecular Modeling and Computation Powered by LLMs
Jinyuan Sun, Auston Li, Yifan Deng et al.
Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin
Samuel Frontull, Georg Moser
On the Benchmarking of LLMs for Open-Domain Dialogue Evaluation
John Mendonça, Alon Lavie, Isabel Trancoso
Applying RLAIF for Code Generation with API-usage in Lightweight LLMs
Sujan Dutta, Sayantan Mahinder, Raviteja Anantha et al.
Noisy Neighbors: Efficient membership inference attacks against LLMs
Filippo Galli, Luca Melis, Tommaso Cucinotta
PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding
Krishna Kanth Nakka, Ahmed Frikha, Ricardo Mendes et al.
PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs
Dan Peng, Zhihui Fu, Jun Wang
Whitening Not Recommended for Classification Tasks in LLMs
Ali Forooghi, Shaghayegh Sadeghi, Jianguo Lu
Synthetic Context with LLM for Entity Linking from Scientific Tables
Yuji Oshima, Hiroyuki Shindo, Hiroki Teranishi et al.
Zero-shot Scientific Claim Verification Using LLMs and Citation Text
Carlos Alvarez, Maxwell Bennett, Lucy Wang