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20172026
most citedExplaining Deep Learning Models using Causal Inference

27 citations · 96 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

DefenderBench: A Toolkit for Evaluating Language Agents in Cybersecurity Environments

Chiyu Zhang, Marc-Alexandre Cote, Michael Albada +6

Large language model (LLM) agents have shown impressive capabilities in human language comprehension and reasoning, yet their potential in cybersecurity remains underexplored. We i…

cs.CL2025

AttentionDefense: Leveraging System Prompt Attention for Explainable Defense Against Novel Jailbreaks

Charlotte Siska, Anush Sankaran

In the past few years, Language Models (LMs) have shown par-human capabilities in several domains. Despite their practical applications and exceeding user consumption, they are sus…

cs.CL2018

Sanskrit Sandhi Splitting using seq2(seq)^2

Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar +2

In Sanskrit, small words (morphemes) are combined to form compound words through a process known as Sandhi. Sandhi splitting is the process of splitting a given compound word into…

cs.CL2017

Hi, how can I help you?: Automating enterprise IT support help desks

Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte +7

Question answering is one of the primary challenges of natural language understanding. In realizing such a system, providing complex long answers to questions is a challenging task…

cs.CL2017

mAnI: Movie Amalgamation using Neural Imitation

Naveen Panwar, Shreya Khare, Neelamadhav Gantayat +3

Cross-modal data retrieval has been the basis of various creative tasks performed by Artificial Intelligence (AI). One such highly challenging task for AI is to convert a book into…