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.
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.