Summary of Generative Adversarial Reviews: When Llms Become the Critic, by Nicolas Bougie and Narimasa Watanabe
Generative Adversarial Reviews: When LLMs Become the Criticby Nicolas Bougie, Narimasa WatanabeFirst submitted to arxiv…
Generative Adversarial Reviews: When LLMs Become the Criticby Nicolas Bougie, Narimasa WatanabeFirst submitted to arxiv…
Evaluating Robustness of LLMs on Crisis-Related Microblogs across Events, Information Types, and Linguistic Featuresby Muhammad…
SuperMerge: An Approach For Gradient-Based Model Mergingby Haoyu Yang, Zheng Zhang, Saket SatheFirst submitted to…
Constrained Decoding with Speculative Lookaheadsby Nishanth Nakshatri, Shamik Roy, Rajarshi Das, Suthee Chaidaroon, Leonid Boytsov,…
AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Frameworkby Meihao Fan, Ju Fan, Nan…
Leveraging Audio and Text Modalities in Mental Health: A Study of LLMs Performanceby Abdelrahman A.…
Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLMby Shaoqing Zhang,…
LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluationby Eunsu Kim, Juyoung Suk, Seungone Kim, Niklas…
Identifying and Manipulating Personality Traits in LLMs Through Activation Engineeringby Rumi A. Allbert, James K.…
Active Inference for Self-Organizing Multi-LLM Systems: A Bayesian Thermodynamic Approach to Adaptationby Rithvik PrakkiFirst submitted…