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ORCIDAmeet Deshpande
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2020 – today
- 2024
[c13]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- [c12]Pranjal Aggarwal
, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande:
GEO: Generative Engine Optimization. KDD 2024: 5-16 - [c11]Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan:
QualEval: Qualitative Evaluation for Model Improvement. NAACL-HLT 2024: 2093-2111 - [c10]Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan:
InstructEval: Systematic Evaluation of Instruction Selection Methods. NAACL-HLT (Findings) 2024: 4336-4350 - [i26]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 abs/2404.08555 (2024) - [i25]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 abs/2405.04325 (2024) - [i24]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 abs/2407.18416 (2024) - [i23]Shreyas Chaudhari, Ameet Deshpande, Bruno Castro da Silva, Philip S. Thomas:
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation. CoRR abs/2410.02172 (2024) - 2023
- [c9]Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan:
Toxicity in chatgpt: Analyzing persona-assigned language models. EMNLP (Findings) 2023: 1236-1270 - [c8]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: 4540-4554 - [c7]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: 5669-5690 - [c6]Pranjal Aggarwal, Ameet Deshpande, Karthik R. Narasimhan:
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification. ICML 2023: 228-247 - [c5]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: 196-211 - [i22]Pranjal Aggarwal, Ameet Deshpande, Karthik Narasimhan:
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification. CoRR abs/2301.11309 (2023) - [i21]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 abs/2302.12441 (2023) - [i20]Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan:
Toxicity in ChatGPT: Analyzing Persona-assigned Language Models. CoRR abs/2304.05335 (2023) - [i19]Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, Ashwin Kalyan:
Anthropomorphization of AI: Opportunities and Risks. CoRR abs/2305.14784 (2023) - [i18]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 abs/2305.15093 (2023) - [i17]Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan:
InstructEval: Systematic Evaluation of Instruction Selection Methods. CoRR abs/2307.00259 (2023) - [i16]Atharvan Dogra, Deeksha Varshney, Ashwin Kalyan, Ameet Deshpande, Neeraj Kumar:
Distraction-free Embeddings for Robust VQA. CoRR abs/2309.00133 (2023) - [i15]Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan:
QualEval: Qualitative Evaluation for Model Improvement. CoRR abs/2311.02807 (2023) - [i14]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 abs/2311.04892 (2023) - [i13]Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik R. Narasimhan, Ameet Deshpande:
GEO: Generative Engine Optimization. CoRR abs/2311.09735 (2023) - 2022
- [c4]Ameet Deshpande, Partha Talukdar, Karthik Narasimhan:
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. NAACL-HLT 2022: 3610-3623 - [i12]Austin W. Hanjie, Ameet Deshpande, Karthik Narasimhan:
Semantic Supervision: Enabling Generalization over Output Spaces. CoRR abs/2202.13100 (2022) - [i11]Henry Tang, Ameet Deshpande, Karthik Narasimhan:
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training. CoRR abs/2211.08547 (2022) - [i10]Ameet Deshpande, Md. Arafat Sultan, Anthony Ferritto, Ashwin Kalyan, Karthik Narasimhan, Avirup Sil:
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers. CoRR abs/2211.16634 (2022) - 2021
- [i9]Ameet Deshpande, Partha Talukdar, Karthik Narasimhan:
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. CoRR abs/2110.14782 (2021) - 2020
- [c3]Ameet Deshpande, Karthik Narasimhan:
Guiding Attention for Self-Supervised Learning with Transformers. EMNLP (Findings) 2020: 4676-4686 - [i8]Raeid Saqur, Ameet Deshpande:
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes. CoRR abs/2009.09154 (2020) - [i7]Ameet Deshpande, Mitesh M. Khapra:
Evaluating a Generative Adversarial Framework for Information Retrieval. CoRR abs/2010.00722 (2020) - [i6]Ameet Deshpande, Eve Fleisig:
Sentiment Analysis for Reinforcement Learning. CoRR abs/2010.02316 (2020) - [i5]Ameet Deshpande, Karthik Narasimhan:
Guiding Attention for Self-Supervised Learning with Transformers. CoRR abs/2010.02399 (2020)
2010 – 2019
- 2019
- [c2]Ameet Deshpande, Monisha Jegadeesan:
Leveraging Ontological Knowledge for Neural Language Models. COMAD/CODS 2019: 350-353 - [c1]Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra:
FigureNet : A Deep Learning model for Question-Answering on Scientific Plots. IJCNN 2019: 1-8 - 2018
- [i4]Ameet Deshpande, Vedant Somani:
Weight Initialization in Neural Language Models. CoRR abs/1805.06503 (2018) - [i3]Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra:
A Question-Answering framework for plots using Deep learning. CoRR abs/1806.04655 (2018) - [i2]Ameet Deshpande, Srikanth Sarma:
Improvements on Hindsight Learning. CoRR abs/1809.06719 (2018) - [i1]Ameet Deshpande, Harshavardhan P. K, Balaraman Ravindran:
Discovering hierarchies using Imitation Learning from hierarchy aware policies. CoRR abs/1812.00225 (2018)
Coauthor Index
aka: Karthik R. Narasimhan
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last updated on 2024-11-08 20:34 CET by the dblp team
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