Ashwin Kalyan | DeepAI

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∙ 08/07/2023

Exploiting Generalization in Offline Reinforcement Learning via Unseen State Augmentations

Offline reinforcement learning (RL) methods strike a balance between exp...

0 Nirbhay Modhe, et al. ∙

∙ 05/24/2023

CSTS: Conditional Semantic Textual Similarity

Semantic textual similarity (STS) has been a cornerstone task in NLP tha...

0 Ameet Deshpande, et al. ∙

∙ 05/24/2023

Anthropomorphization of AI: Opportunities and Risks

Anthropomorphization is the tendency to attribute human-like traits to n...

0 Ameet Deshpande, et al. ∙

∙ 05/15/2023

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs

Despite their unprecedented success, even the largest language models ma...

0 Afra Feyza Akyürek, et al. ∙

∙ 05/13/2023

ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance

Current Virtual Mental Health Assistants (VMHAs) provide counseling and ...

0 Kaushik Roy, et al. ∙

∙ 04/11/2023

Toxicity in ChatGPT: Analyzing Persona-assigned Language Models

Large language models (LLMs) have shown incredible capabilities and tran...

10 Ameet Deshpande, et al. ∙

∙ 11/29/2022

SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers

Fine-tuning pre-trained language models (PLMs) achieves impressive perfo...

0 Ameet Deshpande, et al. ∙

∙ 10/31/2022

Lila: A Unified Benchmark for Mathematical Reasoning

Mathematical reasoning skills are essential for general-purpose intellig...

15 Swaroop Mishra, et al. ∙

∙ 09/20/2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

When answering a question, humans utilize the information available acro...

73 Pan Lu @ UCLA, et al. ∙

∙ 04/12/2022

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks

Given the ubiquitous nature of numbers in text, reasoning with numbers t...

6 Swaroop Mishra, et al. ∙

∙ 10/27/2021

How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI

Many real-world problems require the combined application of multiple re...

5 Ashwin Kalyan, et al. ∙

∙ 06/26/2021

Model-Advantage Optimization for Model-Based Reinforcement Learning

Model-based Reinforcement Learning (MBRL) algorithms have been tradition...

0 Nirbhay Modhe, et al. ∙

∙ 06/08/2018

Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations

Many structured prediction problems (particularly in vision and language...

8 Ashwin Kalyan, et al. ∙

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