AI Papers of the Week
Every paper worth reading in AI, hand-picked one week at a time.
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SeamlessM4T
Meta's SeamlessM4T is a unified multilingual and multimodal machine-translation system that handles five translation tasks in one model.
LLMs for Illicit Purposes
A survey cataloguing threats and vulnerabilities arising from LLM deployment.
Giraffe
A family of context-extended Llama and Llama 2 models, along with an empirical study of context-extension techniques.
IT3D
Improves Text-to-3D generation by leveraging explicitly synthesized multi-view images in the training loop.
LLM-Based Autonomous Agents Survey
A comprehensive survey of LLM-based autonomous agents covering construction and applications.
Prompt2Model
CMU's Prompt2Model automates the path from a natural-language task description to a deployable small special-purpose model.
LegalBench
A collaboratively constructed benchmark for measuring legal reasoning in LLMs.
Language to Rewards for Robotic Skill Synthesis
Google's Language-to-Rewards uses LLMs to define reward parameters for robotic RL.
Humpback (Self-Alignment with Instruction Backtranslation)
Meta's Humpback automatically generates instruction-tuning data by back-translating web text into plausible instructions.
Platypus
Platypus is a family of fine-tuned and merged LLMs that topped the Open LLM Leaderboard in August 2023.
Model Compression for LLMs Survey
A survey of recent model-compression techniques applied specifically to LLMs.
GEARS
Stanford's GEARS predicts cellular responses to genetic perturbation using deep learning + a gene-relationship knowledge graph.
Shepherd
Meta's Shepherd is a 7B language model specifically tuned to critique model outputs and suggest refinements.
GPT-4 Code Interpreter for Math
A zero-shot prompting technique for GPT-4 Code Interpreter that dramatically boosts math-reasoning accuracy via code self-verification.
Teach LLMs to Personalize
A multitask-learning approach for personalized text generation without relying on predefined user attributes.
OctoPack
Hugging Face releases OctoPack, a 4TB dataset of Git commits across 350 programming languages for instruction-tuning code LLMs.
Outlines (Efficient Guided Generation)
A library for guided LLM text generation that enforces structural constraints with minimal overhead.
Bayesian Flow Networks (BFN)
Introduces a new class of generative models that combine Bayesian inference with deep learning.
D-Bot (LLMs as Database Administrators)
Introduces D-Bot, an LLM-based framework that continuously acquires database-administration knowledge from textual sources.
Political Biases in NLP Models
Develops methods to measure political and media biases in LLMs and their downstream effects.
AgentBench
Tsinghua's AgentBench is a multidimensional benchmark for LLM-as-Agent reasoning and decision-making across 8 environments.
Studying LLM Generalization with Influence Functions
Anthropic scales influence functions to LLMs up to 52B parameters to investigate generalization patterns.
NeuroImagen
Reconstructs visual stimuli images from EEG signals using latent diffusion, opening new windows into visually-evoked brain activity.
SynJax
DeepMind's SynJax is a JAX-based library for efficient vectorized inference in structured distributions.