Summary of Diagnosing Robotics Systems Issues with Large Language Models, by Jordis Emilia Herrmann et al.
Diagnosing Robotics Systems Issues with Large Language Modelsby Jordis Emilia Herrmann, Aswath Mandakath Gopinath, Mikael…
Summary of Synth-sonar: Sonar Image Synthesis with Enhanced Diversity and Realism Via Dual Diffusion Models and Gpt Prompting, by Purushothaman Natarajan et al.
Synth-SONAR: Sonar Image Synthesis with Enhanced Diversity and Realism via Dual Diffusion Models and GPT…
Summary of Benchmarking Agentic Workflow Generation, by Shuofei Qiao et al.
Benchmarking Agentic Workflow Generationby Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong…
Summary of Plamo-100b: a Ground-up Language Model Designed For Japanese Proficiency, by Preferred Elements: Kenshin Abe et al.
PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiencyby Preferred Elements, Kenshin Abe, Kaizaburo Chubachi,…
Summary of Sage: Scalable Ground Truth Evaluations For Large Sparse Autoencoders, by Constantin Venhoff et al.
SAGE: Scalable Ground Truth Evaluations for Large Sparse Autoencodersby Constantin Venhoff, Anisoara Calinescu, Philip Torr,…
Summary of Do Great Minds Think Alike? Investigating Human-ai Complementarity in Question Answering with Caimira, by Maharshi Gor et al.
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRAby Maharshi Gor,…
Summary of Eta: Evaluating Then Aligning Safety Of Vision Language Models at Inference Time, by Yi Ding et al.
ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Timeby Yi Ding, Bolian…
Summary of Llm Self-correction with Decrim: Decompose, Critique, and Refine For Enhanced Following Of Instructions with Multiple Constraints, by Thomas Palmeira Ferraz et al.
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple…
Summary of Honesty to Subterfuge: In-context Reinforcement Learning Can Make Honest Models Reward Hack, by Leo Mckee-reid et al.
Honesty to Subterfuge: In-Context Reinforcement Learning Can Make Honest Models Reward Hackby Leo McKee-Reid, Christoph…
Summary of Teochat: a Large Vision-language Assistant For Temporal Earth Observation Data, by Jeremy Andrew Irvin et al.
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Databy Jeremy Andrew Irvin, Emily Ruoyu…