Summary of Detecting and Mitigating Hallucination in Large Vision Language Models Via Fine-grained Ai Feedback, by Wenyi Xiao et al.
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedbackby Wenyi Xiao,…
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedbackby Wenyi Xiao,…
Is There No Such Thing as a Bad Question? H4R: HalluciBot For Ratiocination, Rewriting, Ranking,…
Lean Copilot: Large Language Models as Copilots for Theorem Proving in Leanby Peiyang Song, Kaiyu…
AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from…
Exploring the Transferability of Visual Prompting for Multimodal Large Language Modelsby Yichi Zhang, Yinpeng Dong,…
Fewer Truncations Improve Language Modelingby Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras,…
Harnessing GPT-4V(ision) for Insurance: A Preliminary Explorationby Chenwei Lin, Hanjia Lyu, Jiebo Luo, Xian XuFirst…
Tackling Structural Hallucination in Image Translation with Local Diffusionby Seunghoi Kim, Chen Jin, Tom Diethe,…
Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reportsby Tianyu Cao, Natraj Raman, Danial…
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skippingby Ajay Jaiswal, Bodun…