@ucl-dark.bsky.social entered the stage! Thanks @lauraruis.bsky.social :)
DARK lab
@ucldark.com
UCL Deciding, Acting, and Reasoning with Knowledge (DARK) Lab at UCL led by @rockt.ai, @egrefen.bsky.social, @jparkerholder.bsky.social, and Roberta Raileanu. ucldark.com
How do LLMs learn to reason from data? Are they ~retrieving the answers from parametric knowledge🦜? In our new preprint, we look at the pretraining data and find evidence against this: Procedural knowledge in pretraining drives LLM reasoning ⚙️🔢 🧵⬇️
The LLM parrot analogy is dead. Fantastic work by UCL DARK's @lauraruis.bsky.social on rigorously investigating whether LLMs learn reasoning from procedural knowledge during pretraining.
How do LLMs learn to reason from data? Are they ~retrieving the answers from parametric knowledge🦜? In our new preprint, we look at the pretraining data and find evidence against this: Procedural knowledge in pretraining drives LLM reasoning ⚙️🔢 🧵⬇️
Excited to announce "BALROG: a Benchmark for Agentic LLM and VLM Reasoning On Games" led b UCL DARK's @dpaglieri.bsky.social! Douwe Kiela plot below is maybe the scariest for AI progress — LLM benchmarks are saturating at an accelerating rate. BALROG to the rescue. This will keep us busy for years.
Tired of saturated benchmarks? Want scope for a significant leap in capabilities? 🔥 Introducing BALROG: a Benchmark for Agentic LLM and VLM Reasoning On Games! BALROG is a challenging benchmark for LLM agentic capabilities, designed to stay relevant for years to come. 1/🧵