Ameet Deshpande

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Resource Bounded

Reinforcement Learning

Information Retrieval

Top Venues

EMNLP (Findings)

Publications

Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande
GEO: Generative Engine Optimization. KDD (2024)
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
QualEval: Qualitative Evaluation for Model Improvement. NAACL-HLT (2024)
Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. CoRR (2024)
Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik Narasimhan, Vishvak Murahari
PersonaGym: Evaluating Persona Agents and LLMs. CoRR (2024)
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. ICLR (2024)
Atharvan Dogra, Ameet Deshpande, John Nay, Tanmay Rajpurohit, Ashwin Kalyan, Balaraman Ravindran
Deception in Reinforced Autonomous Agents: The Unconventional Rabbit Hat Trick in Legislation. CoRR (2024)
Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik R. Narasimhan, Ameet Deshpande
GEO: Generative Engine Optimization. CoRR (2023)
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan
Toxicity in chatgpt: Analyzing persona-assigned language models. EMNLP (Findings) (2023)
Pranjal Aggarwal, Ameet Deshpande, Karthik Narasimhan
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification. CoRR (2023)
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan
Toxicity in ChatGPT: Analyzing Persona-assigned Language Models. CoRR (2023)
Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
C-STS: Conditional Semantic Textual Similarity. EMNLP (2023)
Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
MUX-PLMs: Pre-training Language Models with Data Multiplexing. RepL4NLP@ACL (2023)
Atharvan Dogra, Deeksha Varshney, Ashwin Kalyan, Ameet Deshpande, Neeraj Kumar
Distraction-free Embeddings for Robust VQA. CoRR (2023)
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
QualEval: Qualitative Evaluation for Model Improvement. CoRR (2023)
Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
MUX-PLMs: Pre-training Language Models with Data Multiplexing. CoRR (2023)
Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
MUX-PLMs: Data Multiplexing for High-throughput Language Models. EMNLP (Findings) (2023)
Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
CSTS: Conditional Semantic Textual Similarity. CoRR (2023)
Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan
InstructEval: Systematic Evaluation of Instruction Selection Methods. CoRR (2023)
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. CoRR (2023)
Pranjal Aggarwal, Ameet Deshpande, Karthik R. Narasimhan
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification. ICML (2023)
Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, Ashwin Kalyan
Anthropomorphization of AI: Opportunities and Risks. CoRR (2023)
Ameet Deshpande, Partha Talukdar, Karthik Narasimhan
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. NAACL-HLT (2022)
Ameet Deshpande, Md. Arafat Sultan, Anthony Ferritto, Ashwin Kalyan, Karthik Narasimhan, Avirup Sil
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers. CoRR (2022)
Henry Tang, Ameet Deshpande, Karthik Narasimhan
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training. CoRR (2022)
Austin W. Hanjie, Ameet Deshpande, Karthik Narasimhan
Semantic Supervision: Enabling Generalization over Output Spaces. CoRR (2022)
Ameet Deshpande, Partha Talukdar, Karthik Narasimhan
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. CoRR (2021)
Raeid Saqur, Ameet Deshpande
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes. CoRR (2020)
Ameet Deshpande, Karthik Narasimhan
Guiding Attention for Self-Supervised Learning with Transformers. CoRR (2020)
Ameet Deshpande, Mitesh M. Khapra
Evaluating a Generative Adversarial Framework for Information Retrieval. CoRR (2020)
Ameet Deshpande, Karthik Narasimhan
Guiding Attention for Self-Supervised Learning with Transformers. EMNLP (Findings) (2020)
Ameet Deshpande, Eve Fleisig
Sentiment Analysis for Reinforcement Learning. CoRR (2020)
Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra
FigureNet : A Deep Learning model for Question-Answering on Scientific Plots. IJCNN (2019)
Ameet Deshpande, Monisha Jegadeesan
Leveraging Ontological Knowledge for Neural Language Models. COMAD/CODS (2019)
Ameet Deshpande, Harshavardhan P. K, Balaraman Ravindran
Discovering hierarchies using Imitation Learning from hierarchy aware policies. CoRR (2018)
Ameet Deshpande, Srikanth Sarma
Improvements on Hindsight Learning. CoRR (2018)
Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra
A Question-Answering framework for plots using Deep learning. CoRR (2018)
Ameet Deshpande, Vedant Somani
Weight Initialization in Neural Language Models. CoRR (2018)