Knowledge Distillation Using Frontier Open-source LLMs: Generalizability and the Role of Synthetic Databy Anup Shirgaonkar,…
Scaling up Masked Diffusion Models on Textby Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang,…
Optimal Design for Reward Modeling in RLHFby Antoine Scheid, Etienne Boursier, Alain Durmus, Michael I.…
RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Textsby…
Mitigating Embedding Collapse in Diffusion Models for Categorical Databy Bac Nguyen, and Chieh-Hsin Lai, Yuhta…
Debiasing Large Vision-Language Models by Ablating Protected Attribute Representationsby Neale Ratzlaff, Matthew Lyle Olson, Musashi…
Enhancing Text Generation in Joint NLG/NLU Learning Through Curriculum Learning, Semi-Supervised Training, and Advanced Optimization…
BiasJailbreak:Analyzing Ethical Biases and Jailbreak Vulnerabilities in Large Language Modelsby Isack Lee, Haebin SeongFirst submitted…
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Explorationby Yun-Yen Chuang, Hung-Min Hsu, Kevin Lin,…
Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Modelsby Sahar Iravani,…