Early Visual Concept Learning with Unsupervised Deep Learning. - Irina Higgins; Loïc Matthey; Xavier Glorot; Arka Pal; Benigno Uria; Charles Blundell; Shakir Mohamed; Alexander Lerchner (CoRR, 2016)

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. - Irina Higgins; Loïc Matthey; Arka Pal; Christopher P. Burgess; Xavier Glorot; Matthew M. Botvinick; Shakir Mohamed; Alexander Lerchner (ICLR (Poster), 2017)

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning. - Irina Higgins; Arka Pal; Andrei A. Rusu; Loïc Matthey; Christopher P. Burgess; Alexander Pritzel; Matthew M. Botvinick; Charles Blundell; Alexander Lerchner (ICML, 2017)

SCAN: Learning Abstract Hierarchical Compositional Visual Concepts. - Irina Higgins; Nicolas Sonnerat; Loïc Matthey; Arka Pal; Christopher P. Burgess; Matthew M. Botvinick; Demis Hassabis; Alexander Lerchner (CoRR, 2017)

SCAN: Learning Hierarchical Compositional Visual Concepts. - Irina Higgins; Nicolas Sonnerat; Loic Matthey; Arka Pal; Christopher P. Burgess; Matko Bosnjak; Murray Shanahan; Matthew M. Botvinick; Demis Hassabis; Alexander Lerchner (ICLR (Poster), 2018)

Understanding disentangling in β-VAE. - Christopher P. Burgess; Irina Higgins; Arka Pal; Loïc Matthey; Nick Watters; Guillaume Desjardins; Alexander Lerchner (CoRR, 2018)

Giraffe: Adventures in Expanding Context Lengths in LLMs. - Arka Pal; Deep Karkhanis; Manley Roberts; Samuel Dooley; Arvind Sundararajan; Siddartha Naidu (CoRR, 2023)

A Soft Robotic System Automatically Learns Precise Agile Motions Without Model Information. - Simon Bachhuber; Alexander Pawluchin; Arka Pal; Ivo Boblan; Thomas Seel (IROS, 2024)

Large Language Models Must Be Taught to Know What They Don't Know. - Sanyam Kapoor; Nate Gruver; Manley Roberts; Katie Collins; Arka Pal; Umang Bhatt; Adrian Weller; Samuel Dooley; Micah Goldblum; Andrew Gordon Wilson (NeurIPS, 2024)

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive. - Arka Pal; Deep Karkhanis; Samuel Dooley; Manley Roberts; Siddartha Naidu; Colin White (CoRR, 2024)

LiveBench: A Challenging, Contamination-Free LLM Benchmark. - Colin White; Samuel Dooley; Manley Roberts; Arka Pal; Benjamin Feuer; Siddhartha Jain 001; Ravid Shwartz-Ziv; Neel Jain; Khalid Saifullah; Siddartha Naidu; Chinmay Hegde; Yann LeCun; et al. (CoRR, 2024)

vTune: Verifiable Fine-Tuning for LLMs Through Backdooring. - Eva Zhang; Arka Pal; Akilesh Potti; Micah Goldblum (CoRR, 2024)

LiveBench: A Challenging, Contamination-Limited LLM Benchmark. - Colin White; Samuel Dooley; Manley Roberts; Arka Pal; Benjamin Feuer; Siddhartha Jain 001; Ravid Shwartz-Ziv; Neel Jain; Khalid Saifullah; Sreemanti Dey; Shubh-Agrawal; Sandeep Singh Sandha; et al. (ICLR, 2025)

An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs. - Rahul Thomas; Louai Zahran; Erica Choi; Akilesh Potti; Micah Goldblum; Arka Pal (CoRR, 2025)

Cascade: Token-Sharded Private LLM Inference. - Rahul Thomas; Louai Zahran; Erica Choi; Akilesh Potti; Micah Goldblum; Arka Pal (CoRR, 2025)