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20232026
most citedAn In-depth Look at Gemini's Language Abilities

12 citations · 13 across the 13 of their papers we have counts for

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cs.CL2026

Write Once, Check Many: Reusable Ledgers for Post-Hoc Policy Compliance Auditing of Agent Trajectories

Ashwin Nagarajan, Gursimran Panesar, Alicia Yang +3

Auditing LLM agents against policies is critical to ensure safety but requires rereading long trajectories once per policy. Can we instead record each trajectory once and reuse tha…

cs.CL2025

RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models

Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer +2

The ability of language models in RAG systems to selectively refuse to answer based on flawed context is critical for safety, yet remains a significant failure point. Our large-sca…

cs.CL2025★ 1 cited

Beyond Understanding: Evaluating the Pragmatic Gap in LLMs' Cultural Processing of Figurative Language

Mena Attia, Aashiq Muhamed, Mai Alkhamissi +2

We present a comprehensive evaluation of the ability of large language models (LLMs) to process culturally grounded language, specifically to understand and pragmatically use figur…

cs.CL2025

CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation

Aashiq Muhamed

RAG systems enhance LLMs by incorporating external knowledge, which is crucial for domains that demand factual accuracy and up-to-date information. However, evaluating the multifac…

cs.CL2023★ 12 cited

An In-depth Look at Gemini's Language Abilities

Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed +6

The recently released Google Gemini class of models are the first to comprehensively report results that rival the OpenAI GPT series across a wide variety of tasks. In this paper,…