Papers by Hail Hochman

1 papers
Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process (2026.acl-long)

Copied to clipboard

Challenge: Existing work posits that factual knowledge is stored at the last entity token position, but the precise mechanics of how facts are retrieved from model parameters remain unclear.
Approach: They propose an iterative patching protocol to identify a minimal subset of layers necessary for attribute retrieval.
Outcome: The proposed method shows that models possess multiple paths for the same entity and fact, highlighting a high degree of redundancy in attribute computation.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations