Vishvak Murahari

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Qualitative Evaluation

Semantic Distance

Fine Granularity

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)
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)
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)
Aniket Agarwal, Alex Zhang, Karthik Narasimhan, Igor Gilitschenski, Vishvak Murahari, Yash Kant
Building Scalable Video Understanding Benchmarks through Sports. 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)
Yushan Su, Vishvak Murahari, Karthik Narasimhan, Kai Li
PruMUX: Augmenting Data Multiplexing with Model Compression. CoRR (2023)
Yushan Su, Vishvak Murahari, Karthik Narasimhan, Kai Li
PruMUX: Augmenting Data Multiplexing with Model Compression. ACL (Findings) (2023)
Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan
DataMUX: Data Multiplexing for Neural Networks. NeurIPS (2022)
Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan
DataMUX: Data Multiplexing for Neural Networks. CoRR (2022)
Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das
Large-Scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline. ECCV (18) (2020)
Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das
Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline. CoRR (2019)
Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das
Improving Generative Visual Dialog by Answering Diverse Questions. EMNLP/IJCNLP (1) (2019)
Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das
Improving Generative Visual Dialog by Answering Diverse Questions. CoRR (2019)