Search Results for author: Atharvan Dogra

Found 3 papers, 0 papers with code

Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition

no code implementations SemEval (NAACL) 2022 Atharvan Dogra, Prabsimran Kaur, Guneet Kohli, Jatin Bedi

Named Entity Recognition (NER), an essential subtask in NLP that identifies text belonging to predefined semantics such as a person, location, organization, drug, time, clinical procedure, biological protein, etc.

Machine Translation named-entity-recognition +5

Deception in Reinforced Autonomous Agents: The Unconventional Rabbit Hat Trick in Legislation

no code implementations7 May 2024 Atharvan Dogra, Ameet Deshpande, John Nay, Tanmay Rajpurohit, Ashwin Kalyan, Balaraman Ravindran

Recent developments in large language models (LLMs), while offering a powerful foundation for developing natural language agents, raise safety concerns about them and the autonomous agents built upon them.

Deception Detection Philosophy

Distraction-free Embeddings for Robust VQA

no code implementations31 Aug 2023 Atharvan Dogra, Deeksha Varshney, Ashwin Kalyan, Ameet Deshpande, Neeraj Kumar

The generation of effective latent representations and their subsequent refinement to incorporate precise information is an essential prerequisite for Vision-Language Understanding (VLU) tasks such as Video Question Answering (VQA).

Question Answering Video Question Answering +1

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