← Search

Hardik Bhatnagar

2 accepted papers

2026

PostTrainBench: Can LLM Agents Automate LLM Post-Training?

ICML 2026poster

Given the recent rapid progress of LLM agents like Claude Code or Codex CLI for software engineering, an important next question is whether they can automate AI research itself. In this paper, we study *post-training*, which is the critical step that turns base LLMs into useful assistants. We introd…

Cited by 0SourceScholar
2025

A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders

NeurIPS 2025oral

Sparse Autoencoders (SAEs) aim to decompose the activation space of large language models (LLMs) into human-interpretable latent directions or features. As we increase the number of features in the SAE, hierarchical features tend to split into finer features (“math” may split into “algebra”, “geomet…

Cited by 0SourcecodeScholar