Setting the type…
Setting the type…
Can LLMs Write Reliable Rubrics? A Meta-Evaluation for Experiment Reproduction — Rubric-based evaluation is a promising approach for assessing open-ended outputs from LLM-based research agents, particularly in paper reproduction, where direct paper-to-repository comparison is pro
PM-Bench: Evaluating Prospective Memory in LLM Agents — A significant challenge in agentic AI is prospective memory: the ability to execute an intention at a specific future cue or state while other activities are ongoing. We introduce PM-Bench, a text-based benchmark for measuri
GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking — Open-weight model release on Hugging Face - text-generation - 3483 downloads
AdaPCLA: Adaptive Prior-Calibrated Logit Adjustment for Long-Tailed Longitudinal EHR Generation — Generative modeling of longitudinal Electronic Health Records is increasingly important for privacy-preserving research, yet standard autoregressive models tend to underrepresent the
OpenAI researcher Miles Wang in talks to launch AI drug discovery startup valued at $2B — The funding discussions point to investor interest in applying AI to make breakthroughs in life sciences.
Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B-GGUF — Open-weight model release on Hugging Face - text-generation - 56 downloads
CodeFault/Unsloth-Qwen3.6-27B-NVFP4-GGUF — Open-weight model release on Hugging Face - text-generation - 3485 downloads
From Critic to Confidence: PPO for Language-Based Quantitative Prediction with Confidence Estimation — LLMs can perform language-based quantitative prediction from unstructured inputs, but remain susceptible to hallucinations and overconfident errors, making it critical to know n