26 citations · 30 across the 6 of their papers we have counts for
4 papers · 1 filter
Cross-Architecture Steering Transfer in Language Models: A Systematic Empirical Study
Ayushi Agarwal
Independently trained large language models may develop shared internal representations of semantic concepts despite architectural differences -- but whether this geometric similar…
PoolBench: A Benchmark for Pooling Strategies in Concept Representation Evaluation for Decoder-Only LLMs
Ayushi Agarwal
Pooling is a consequential but under-examined design choice in decoder-only concept representation work: practitioners must collapse token-level hidden states into a passage-level…
First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI
Sourav Banerjee, Anush Mahajan, Ayushi Agarwal +1
Natural Language Inference (NLI) tasks require identifying the relationship between sentence pairs, typically classified as entailment, contradiction, or neutrality. While the curr…
The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance?
Sourav Banerjee, Ayushi Agarwal, Eishkaran Singh
The pursuit of leaderboard rankings in Large Language Models (LLMs) has created a fundamental paradox: models excel at standardized tests while failing to demonstrate genuine langu…