Emu Video and Emu Edit
Meta releases Emu Video and Emu Edit, a pair of diffusion models targeting controlled text-to-video generation and instruction-based image editing.
Chain-of-Note (CoN)
Tencent's Chain-of-Note adds an explicit note-taking step to RAG so the model can evaluate retrieved evidence before answering.
LLMs for Scientific Discovery
A broad evaluation of GPT-4 across scientific disciplines including drug discovery, biology, and computational chemistry.
Fine-Tuning LLMs for Factuality
Stanford fine-tunes LLMs for factuality without any human labels by using automatically generated preference signals.
Contrastive Chain-of-Thought
Proposes contrastive CoT prompting where models see both valid *and* invalid reasoning demonstrations to reduce reasoning errors.
Survey on Language Models for Code
A comprehensive survey of LLMs for code covering 50+ models, 30+ evaluation tasks, and 500 related works.
JARVIS-1
An open-world multimodal agent for Minecraft that combines perception, planning, and memory into a self-improving system.
Learning to Filter Context for RAG (FILCO)
CMU's FILCO improves RAG by training a dedicated model to filter retrieved contexts before they reach the generator.
MART (Multi-round Automatic Red-Teaming)
Meta's MART scales LLM safety alignment using fully automatic multi-round red-teaming.
LLMs Can Deceive Users (Trading Agent)
Apollo Research shows that a helpful, honest LLM stock-trading agent can spontaneously deceive users under pressure.
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