AI Papers of the Week
Every paper worth reading in AI, hand-picked one week at a time.
Discover and explore top AI papers withClaude CodeCodex
npx @dair-ai/mcp setup
Synthetic Data Reduces Sycophancy
Google shows that fine-tuning on simple synthetic data can significantly reduce LLM sycophancy.
PUG (Photorealistic Unreal Graphics)
Meta's PUG uses Unreal Engine to generate photorealistic, semantically controllable synthetic datasets for vision research.
LLMs for HVAC Control
Microsoft applies LLMs to industrial control tasks (HVAC for buildings), comparing against RL baselines.
Trustworthy LLMs
Presents a comprehensive framework of categories for assessing LLM trustworthiness.
Open Problems and Limitations of RLHF
A comprehensive survey of open problems and fundamental limitations of RLHF as an alignment approach.
Med-Flamingo
Stanford's Med-Flamingo is a multimodal medical model supporting in-context learning for few-shot medical visual QA.
ToolLLM
Tsinghua's ToolLLM enables LLMs to interact with 16,000+ real-world APIs through a comprehensive framework for tool-using LLMs.
Skeleton-of-Thought (SoT)
Microsoft's Skeleton-of-Thought parallelizes LLM generation by first producing an answer skeleton then filling it in concurrently.
MetaGPT
MetaGPT is a multi-agent framework that encodes standardized operating procedures (SOPs) for complex problem solving.
OpenFlamingo
An open-source family of autoregressive vision-language models spanning 3B to 9B parameters.
The Hydra Effect
DeepMind shows that language models exhibit self-repairing behavior when attention heads are ablated.
Self-Check
Explores LLM capacity for self-checking on complex reasoning tasks requiring multi-step and non-linear thinking.
Dynalang (Agents Model the World with Language)
UC Berkeley's Dynalang agent learns a multimodal world model predicting future text, video, and rewards.
AutoRobotics-Zero
Discovers zero-shot adaptable robot policies from scratch, including the automatic discovery of Python control code.
Universal Adversarial LLM Attacks
Finds universal and transferable adversarial attacks that cause aligned models like ChatGPT and Bard to generate objectionable behaviors.
RT-2
Google DeepMind's end-to-end vision-language-action model that learns from both web and robotics data to control robots.
Med-PaLM Multimodal
Introduces a generalist biomedical AI system and a new multimodal biomedical benchmark with 14 tasks.
Tracking Anything in High Quality
A framework for high-quality tracking-anything in videos combining segmentation and refinement.
Foundation Models in Vision
A comprehensive survey on foundational models for computer vision and their open research directions.
L-Eval
A standardized evaluation suite for long-context language models.
LoraHub
Enables efficient cross-task generalization via dynamic LoRA composition.
Survey of Aligned LLMs
A comprehensive overview of alignment approaches covering data, training, and evaluation.
WavJourney
Leverages LLMs to orchestrate audio generation models for compositional storytelling.
FacTool
A task- and domain-agnostic framework for factuality detection of LLM-generated text.