AlphaMissense
DeepMind's AlphaMissense is an AI model that classifies missense genetic variants as pathogenic or benign at genome scale.
Chain-of-Verification (CoVe)
Meta's Chain-of-Verification adds a "deliberation" step where the LLM fact-checks its own draft before finalizing.
Contrastive Decoding for Reasoning
Shows that contrastive decoding, a simple inference-time technique, substantially improves reasoning in large LLMs.
LongLoRA
An efficient LoRA-based fine-tuning recipe for extending LLM context windows without expensive full fine-tuning.
Struc-Bench (LLMs for Structured Data)
Studies how LLMs handle complex structured-data generation and proposes a structure-aware fine-tuning method.
LMSYS-Chat-1M
LMSYS releases a large-scale dataset of 1 million real-world LLM conversations collected from the Vicuna demo and Chatbot Arena.
Language Modeling Is Compression
DeepMind empirically revisits the theoretical equivalence between prediction and compression, applied to modern LLMs.
Compositional Foundation Models (HiP)
Proposes foundation models that compose multiple expert foundation models trained on different modalities to solve long-horizon goals.
OWL (LLMs for IT Operations)
Proposes OWL, an LLM specialized for IT operations through self-instruct fine-tuning on IT-specific tasks.
KOSMOS-2.5
Microsoft's KOSMOS-2.5 is a multimodal model purpose-built for "machine reading" of text-intensive images.
Get next week’s papers.
The same picks and the same summaries, in your inbox. Free, and 176 issues deep.
Subscribe on Substack