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20232026
most citedGMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification

1 citations · 1 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Small Agents with Semantic Search: Efficient Multilingual Code Localization

Maxence Lasbordes, Aarush Sinha, Raphael Sourty +2

Locating relevant files from natural-language requests is a core subtask for agents operating over code repositories. We investigate whether this task can be delegated to compact,…

cs.AI2026

Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting

Avijit Ghosh, Anka Reuel, Jenny Chim +45

AI evaluation results are produced at scale but reported inconsistently across leaderboards, model cards, benchmark papers, and company blogs. The cost is interpretive: readers can…

cs.LG2026

Mechanistic Analysis of Alignment Algorithms in Language Models

Aarush Sinha, Ishan Garg, Veeraraju Elluru +2

Post-training alignment algorithms are predominantly evaluated as black boxes, obscuring how they reshape language models' internal computations. We present a systematic mechanisti…

cs.MA2026

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation

Aarush Sinha, Arion Das, Soumyadeep Nag +7

As large language models (LLMs) are increasingly deployed as autonomous agents, understanding how strategic behavior emerges in multi-agent environments has become an important ali…

cs.IR2026

What Tracks Hard-Negative Transfer? A Study of Lexical and Semantic Signals

Aarush Sinha, Rahul Seetharaman, Aman Bansal

Which properties of hard-negative supervision track dense-retriever transfer before training? We compare lexical noncoverage, frozenencoder similarity statistics, hardness proxies,…