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Megh Thakkar
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2020 – today
- 2024
- [c19]Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar:
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. ACL (1) 2024: 5732-5745 - [c18]Ramit Sawhney, Megh Thakkar:
Sequence Mixup for Zero-Shot Cross-Lingual Part-of-speech Tagging. Tiny Papers @ ICLR 2024 - [c17]Ramit Sawhney, Shrey Pandit, Vishwa Shah, Megh Thakkar, Shafiq Joty:
AdaPT: A Set of Guidelines for Hyperbolic Multimodal Multilingual NLP. NAACL-HLT (Findings) 2024: 1757-1771 - [i8]Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vázquez, Nicolas Chapados, Alexandre Lacoste:
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? CoRR abs/2403.07718 (2024) - [i7]Megh Thakkar, Quentin Fournier, Matthew D. Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar:
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. CoRR abs/2406.04879 (2024) - [i6]Ahmed Masry, Megh Thakkar, Aayush Bajaj, Aaryaman Kartha, Enamul Hoque, Shafiq Joty:
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild. CoRR abs/2407.04172 (2024) - [i5]Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier De Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin:
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. CoRR abs/2407.05291 (2024) - 2023
- [c16]Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing:
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. ACL (1) 2023: 4799-4816 - [c15]Han Cheol Moon, Shafiq R. Joty, Ruochen Zhao, Megh Thakkar, Chi Xu:
Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications. ACL (1) 2023: 5145-5165 - [c14]Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar:
Self-Influence Guided Data Reweighting for Language Model Pre-training. EMNLP 2023: 2033-2045 - [c13]Parth Chhabra
, Atula Tejaswi Neerkaje
Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. SIGIR 2023: 2108-2112 - [i4]Han Cheol Moon, Shafiq R. Joty, Ruochen Zhao, Megh Thakkar, Xu Chi:
Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications. CoRR abs/2305.06522 (2023) - [i3]Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar:
Self-Influence Guided Data Reweighting for Language Model Pre-training. CoRR abs/2311.00913 (2023) - 2022
- [c12]Ramit Sawhney, Megh Thakkar, Shrey Pandit, Ritesh Soun, Di Jin, Diyi Yang, Lucie Flek:
DMix: Adaptive Distance-aware Interpolative Mixup. ACL (2) 2022: 606-612 - [c11]Shankar Kantharaj, Rixie Tiffany Ko Leong, Xiang Lin, Ahmed Masry, Megh Thakkar, Enamul Hoque, Shafiq R. Joty:
Chart-to-Text: A Large-Scale Benchmark for Chart Summarization. ACL (1) 2022: 4005-4023 - [c10]Ramit Sawhney, Megh Thakkar, Ritesh Soun, Atula Tejaswi Neerkaje, Vasu Sharma, Dipanwita Guhathakurta, Sudheer Chava:
Tweet Based Reach Aware Temporal Attention Network for NFT Valuation. EMNLP (Findings) 2022: 6321-6332 - [c9]Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr
THINK: Temporal Hypergraph Hyperbolic Network. ICDM 2022: 849-854 - [c8]Ramit Sawhney, Megh Thakkar, Vishwa Shah, Puneet Mathur, Vasu Sharma, Dinesh Manocha:
PISA: PoIncaré Saliency-Aware Interpolative Augmentation. INTERSPEECH 2022: 2663-2667 - [c7]Iva Bojic, Qi Chwen Ong, Megh Thakkar, Esha Kamran, Irving Yu Le Shua, Jaime Rei Ern Pang, Jessica Chen, Vaaruni Nayak, Shafiq R. Joty, Josip Car:
SleepQA: A Health Coaching Dataset on Sleep for Extractive Question Answering. ML4H@NeurIPS 2022: 199-217 - [c6]Ramit Sawhney, Ritesh Soun, Shrey Pandit, Megh Thakkar, Sarvagya Malaviya, Yuval Pinter
CIAug: Equipping Interpolative Augmentation with Curriculum Learning. NAACL-HLT 2022: 1758-1764 - [i2]Shankar Kantharaj, Rixie Tiffany Ko Leong, Xiang Lin, Ahmed Masry, Megh Thakkar, Enamul Hoque, Shafiq R. Joty:
Chart-to-Text: A Large-Scale Benchmark for Chart Summarization. CoRR abs/2203.06486 (2022) - [i1]Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Lidong Bing, Shafiq R. Joty, Luo Si:
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. CoRR abs/2211.08794 (2022) - 2021
- [c5]Ramit Sawhney, Megh Thakkar, Shivam Agarwal, Di Jin, Diyi Yang, Lucie Flek:
HypMix: Hyperbolic Interpolative Data Augmentation. EMNLP (1) 2021: 9858-9868 - [c4]Ramit Sawhney, Shivam Agarwal, Megh Thakkar, Arnav Wadhwa, Rajiv Ratn Shah:
Hyperbolic Online Time Stream Modeling. SIGIR 2021: 1682-1686
2010 – 2019
- 2011
- [c3]Megh Thakkar:
Poster: Consolidating Database Servers. Int. CMG Conference 2011
2000 – 2009
- 2009
- [c2]Megh Thakkar:
Capacity planning in an Oracle database. Int. CMG Conference 2009 - 2007
- [c1]Megh Thakkar:
Performance Management - Top 10 Traps. Int. CMG Conference 2007: 351-352
Coauthor Index
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last updated on 2024-09-26 00:58 CEST by the dblp team
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