AI Papers of the Week
Every paper worth reading in AI, hand-picked one week at a time.
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ChatDev (Communicative Agents for Software Development)
ChatDev is a virtual chat-powered software company where LLM agents take on roles in a waterfall-model dev process.
MAmmoTH
An open-source LLM family specialized for general mathematical problem solving.
Transformers as Support Vector Machines
A theoretical paper establishing a formal connection between self-attention optimization and hard-margin SVM problems.
RLAIF (Scaling RLHF with AI Feedback)
Google compares RLHF with RLAIF (Reinforcement Learning from AI Feedback) to test whether AI preferences can replace human preferences.
GPT Solves Math Problems Without a Calculator
Demonstrates that with sufficient training data, even a small language model can perform accurate multi-digit arithmetic.
OPRO (LLMs as Optimizers)
DeepMind's OPRO uses LLMs as general-purpose optimizers over natural-language-described problems.
ImageBind-LLM
Shanghai AI Lab's ImageBind-LLM brings six-modality understanding to LLMs via the ImageBind joint embedding space.
Explaining Grokking
DeepMind advances our understanding of grokking, predicting and confirming two novel phenomena that test their theory.
Overview of AI Deception
A survey cataloguing empirical examples of AI systems exhibiting deceptive behavior.
FLM-101B
A 101B parameter open LLM trainable on a $100K budget through a growth-based training strategy.
Cognitive Architectures for Language Agents (CoALA)
Princeton proposes CoALA, a systematic framework for understanding and building language agents.
Q-Transformer
Google's Q-Transformer is a scalable RL method for training multi-task robotic policies from large offline datasets.
LLaSM (Large Language and Speech Model)
A combined language-and-speech model trained with cross-modal conversational abilities.
SAM-Med2D
Adapts the Segment Anything Model (SAM) to 2D medical imaging through large-scale medical fine-tuning.
Vector Search with OpenAI Embeddings
Argues, via empirical analysis, that dedicated vector databases aren't necessarily required for modern AI-stack search applications.
Graph of Thoughts (GoT)
Generalizes Chain-of-Thought and Tree-of-Thought by modeling LLM reasoning as an arbitrary graph.
MVDream
ByteDance's MVDream is a multi-view diffusion model that generates geometrically consistent images from multiple viewpoints given a text prompt.
Nougat
Meta's Nougat is a visual transformer for "Neural Optical Understanding for Academic documents" that converts PDFs to LaTeX/Markdown.
FacTool
A tool-augmented framework for detecting factual errors in LLM-generated text.
AnomalyGPT
Applies large vision-language models to industrial anomaly detection with synthetic data augmentation.
FaceChain
Alibaba's FaceChain is a personalized portrait generation framework that produces identity-preserving portraits from just a handful of input photos.
Qwen-VL
Alibaba's Qwen-VL is a large-scale vision-language model family with strong performance across captioning, VQA, and visual localization.
Code Llama
Meta releases Code Llama, a family of code-specialized LLMs built on top of Llama 2.
Survey on Instruction Tuning for LLMs
A comprehensive survey of instruction tuning covering methodology, dataset construction, and applications.