CogAgent
Tsinghua's CogAgent is an 18B-parameter visual-language model purpose-built for GUI understanding and navigation, with unusually high input resolution.
From Gemini to Q-Star
A 300+-paper survey mapping the state of Generative AI and the research frontiers that followed the Gemini + rumored Q* news cycle.
PromptBench
A unified library for comprehensive evaluation and analysis of LLMs that consolidates multiple evaluation concerns under one roof.
Exploiting Novel GPT-4 APIs
A red-team study of three newer GPT-4 API surfaces - fine-tuning, function calling, and knowledge retrieval - that reveals each introduces new attack vectors.
Fact Recalling in LLMs
A mechanistic-interpretability study showing that early MLP layers function as a lookup table for factual recall.
Generative AI for Math (OpenWebMath / MathPile)
Releases a diverse, high-quality math-centric corpus of ~9.5B tokens designed for training math-capable foundation models.
Principled Instructions Are All You Need
Distills effective LLM prompting into 26 guiding principles and validates them across multiple model families.
Survey of Reasoning with Foundation Models
A comprehensive survey of reasoning with foundation models, covering tasks, methods, benchmarks, and future directions.
LLaRA
LLaRA adapts a decoder-only LLM for dense retrieval via two tailored pretext tasks that leverage text embeddings from the LLM itself.
Gemini vs GPT-4V
A qualitative side-by-side comparison of Gemini and GPT-4V across vision-language tasks, documenting systematic behavioral differences.
Get next week’s papers.
The same picks and the same summaries, in your inbox. Free, and 176 issues deep.
Subscribe on Substack