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Ashwin Kalyan
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2020 – today
- 2022
- [j1]Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth:
ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. Frontiers Big Data 5 (2022) - [c7]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan:
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. ACL (1) 2022: 3505-3523 - [c6]Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan:
LILA: A Unified Benchmark for Mathematical Reasoning. EMNLP 2022: 5807-5832 - [i9]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan:
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. CoRR abs/2204.05660 (2022) - [i8]Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan:
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. CoRR abs/2209.09513 (2022) - [i7]Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan:
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. CoRR abs/2209.14610 (2022) - [i6]Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan:
Lila: A Unified Benchmark for Mathematical Reasoning. CoRR abs/2210.17517 (2022) - [i5]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
- [c5]Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark:
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. EMNLP (1) 2021: 7318-7328 - [c4]Tal Schuster, Ashwin Kalyan, Alex Polozov, Adam Kalai:
Programming Puzzles. NeurIPS Datasets and Benchmarks 2021 - [i4]Tal Schuster, Ashwin Kalyan, Oleksandr Polozov, Adam Tauman Kalai:
Programming Puzzles. CoRR abs/2106.05784 (2021) - [i3]Nirbhay Modhe, Harish Kamath, Dhruv Batra, Ashwin Kalyan:
Model-Advantage Optimization for Model-Based Reinforcement Learning. CoRR abs/2106.14080 (2021) - [i2]Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark:
How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. CoRR abs/2110.14207 (2021)
2010 – 2019
- 2019
- [c3]Ashwin Kalyan, Peter Anderson, Stefan Lee, Dhruv Batra:
Trainable Decoding of Sets of Sequences for Neural Sequence Models. ICML 2019: 3211-3221 - 2018
- [c2]Ashwin Kalyan, Abhishek Mohta, Oleksandr Polozov, Dhruv Batra, Prateek Jain, Sumit Gulwani:
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples. ICLR (Poster) 2018 - [c1]Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra:
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. ICML 2018: 2454-2463 - [i1]Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra:
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. CoRR abs/1806.02934 (2018)
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