Papers by Niyar R Barman

1 papers
TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination (2026.findings-acl)

Copied to clipboard

Challenge: Large Language Models typically come with a fixed architecture, but not all layers contribute equally to every downstream task.
Approach: They propose an inference-time method that selectively removes irrelevant or detrimental layers . the method is hardware-agnostic, requires no retraining, and operates entirely at inference time .
Outcome: The proposed method matches or surpasses baseline performance while reducing computational costs.

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