Summary of Aligning Large Language Models with Counterfactual Dpo, by Bradley Butcher
Aligning Large Language Models with Counterfactual DPOby Bradley ButcherFirst submitted to arxiv on: 17 Jan…
Summary of Using Zero-shot Prompting in the Automatic Creation and Expansion Of Topic Taxonomies For Tagging Retail Banking Transactions, by Daniel De S. Moraes et al.
Using Zero-shot Prompting in the Automatic Creation and Expansion of Topic Taxonomies for Tagging Retail…
Summary of Augsumm: Towards Generalizable Speech Summarization Using Synthetic Labels From Large Language Model, by Jee-weon Jung et al.
AugSumm: towards generalizable speech summarization using synthetic labels from large language modelby Jee-weon Jung, Roshan…
Summary of Structsum Generation For Faster Text Comprehension, by Parag Jain et al.
Structsum Generation for Faster Text Comprehensionby Parag Jain, Andreea Marzoca, Francesco PiccinnoFirst submitted to arxiv…
Summary of Hallucination Benchmark in Medical Visual Question Answering, by Jinge Wu et al.
Hallucination Benchmark in Medical Visual Question Answeringby Jinge Wu, Yunsoo Kim, Honghan WuFirst submitted to…
Summary of Infiagent-dabench: Evaluating Agents on Data Analysis Tasks, by Xueyu Hu et al.
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasksby Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai,…
Summary of The Benefits Of a Concise Chain Of Thought on Problem-solving in Large Language Models, by Matthew Renze and Erhan Guven
The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Modelsby Matthew…
Summary of Generating Diverse and High-quality Texts by Minimum Bayes Risk Decoding, By Yuu Jinnai et al.
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decodingby Yuu Jinnai, Ukyo Honda, Tetsuro…
Summary of Know Your Needs Better: Towards Structured Understanding Of Marketer Demands with Analogical Reasoning Augmented Llms, by Junjie Wang et al.
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMsby…
Summary of Fighting Fire with Fire: Adversarial Prompting to Generate a Misinformation Detection Dataset, by Shrey Satapara et al.
Fighting Fire with Fire: Adversarial Prompting to Generate a Misinformation Detection Datasetby Shrey Satapara, Parth…