Summary of Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era Of Large Language Models, by Shubham Kumar Nigam et al.
Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Modelsby…
Summary of Formalalign: Automated Alignment Evaluation For Autoformalization, by Jianqiao Lu et al.
FormalAlign: Automated Alignment Evaluation for Autoformalizationby Jianqiao Lu, Yingjia Wan, Yinya Huang, Jing Xiong, Zhengying…
Summary of Can In-context Learning Really Generalize to Out-of-distribution Tasks?, by Qixun Wang et al.
Can In-context Learning Really Generalize to Out-of-distribution Tasks?by Qixun Wang, Yifei Wang, Yisen Wang, Xianghua…
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 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…