Performance Management - Top 10 Traps. - Megh Thakkar (Int. CMG Conference, 2007)

Capacity planning in an Oracle database. - Megh Thakkar (Int. CMG Conference, 2009)

Poster: Consolidating Database Servers. - Megh Thakkar (Int. CMG Conference, 2011)

HypMix: Hyperbolic Interpolative Data Augmentation. - Ramit Sawhney; Megh Thakkar; Shivam Agarwal; Di Jin; Diyi Yang; Lucie Flek (EMNLP (1), 2021)

Hyperbolic Online Time Stream Modeling. - Ramit Sawhney; Shivam Agarwal; Megh Thakkar; Arnav Wadhwa; Rajiv Ratn Shah (SIGIR, 2021)

Chart-to-Text: A Large-Scale Benchmark for Chart Summarization. - Shankar Kantharaj; Rixie Tiffany Ko Leong; Xiang Lin; Ahmed Masry; Megh Thakkar; Enamul Hoque; Shafiq R. Joty (ACL (1), 2022)

DMix: Adaptive Distance-aware Interpolative Mixup. - Ramit Sawhney; Megh Thakkar; Shrey Pandit; Ritesh Soun; Di Jin; Diyi Yang; Lucie Flek (ACL (2), 2022)

Tweet Based Reach Aware Temporal Attention Network for NFT Valuation. - Ramit Sawhney; Megh Thakkar; Ritesh Soun; Atula Tejaswi Neerkaje; Vasu Sharma; Dipanwita Guhathakurta; Sudheer Chava (EMNLP (Findings), 2022)

THINK: Temporal Hypergraph Hyperbolic Network. - Shivam Agarwal; Ramit Sawhney; Megh Thakkar; Preslav Nakov; Jiawei Han 001; Tyler Derr (ICDM, 2022)

PISA: PoIncaré Saliency-Aware Interpolative Augmentation. - Ramit Sawhney; Megh Thakkar; Vishwa Shah; Puneet Mathur; Vasu Sharma; Dinesh Manocha (INTERSPEECH, 2022)

SleepQA: A Health Coaching Dataset on Sleep for Extractive Question Answering. - 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 (ML4H@NeurIPS, 2022)

CIAug: Equipping Interpolative Augmentation with Curriculum Learning. - Ramit Sawhney; Ritesh Soun; Shrey Pandit; Megh Thakkar; Sarvagya Malaviya; Yuval Pinter (NAACL-HLT, 2022)

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. - Linlin Liu; Xingxuan Li; Megh Thakkar; Xin Li 056; Shafiq Joty; Luo Si; Lidong Bing (ACL (1), 2023)

Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications. - Han Cheol Moon; Shafiq R. Joty; Ruochen Zhao; Megh Thakkar; Chi Xu (ACL (1), 2023)

Self-Influence Guided Data Reweighting for Language Model Pre-training. - Megh Thakkar; Tolga Bolukbasi; Sriram Ganapathy; Shikhar Vashishth; Sarath Chandar; Partha Talukdar (EMNLP, 2023)

Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. - Parth Chhabra; Atula Tejaswi Neerkaje; Shivam Agarwal; Ramit Sawhney; Megh Thakkar; Preslav Nakov; Sudheer Chava (SIGIR, 2023)

Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications. - Han Cheol Moon; Shafiq R. Joty; Ruochen Zhao; Megh Thakkar; Xu Chi (CoRR, 2023)

A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. - Megh Thakkar; Quentin Fournier; Matthew Riemer; Pin-Yu Chen; Amal Zouaq; Payel Das; Sarath Chandar (ACL (1), 2024)

Sequence Mixup for Zero-Shot Cross-Lingual Part-of-speech Tagging. - Ramit Sawhney; Megh Thakkar (Tiny Papers @ ICLR, 2024)

AdaPT: A Set of Guidelines for Hyperbolic Multimodal Multilingual NLP. - Ramit Sawhney; Shrey Pandit; Vishwa Shah; Megh Thakkar; Shafiq Joty (NAACL-HLT (Findings), 2024)

WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. - Léo Boisvert; Megh Thakkar; Maxime Gasse; Massimo Caccia; Thibault Le Sellier de Chezelles; Quentin Cappart; Nicolas Chapados; Alexandre Lacoste; Alexandre Drouin (NeurIPS, 2024)

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? - Alexandre Drouin; Maxime Gasse; Massimo Caccia; Issam H. Laradji; Manuel Del Verme; Tom Marty; Léo Boisvert; Megh Thakkar; Quentin Cappart; David Vázquez 001; Nicolas Chapados; Alexandre Lacoste (CoRR, 2024)

Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs. - Megh Thakkar; Yash More; Quentin Fournier; Matthew Riemer; Pin-Yu Chen; Amal Zouaq; Payel Das; Sarath Chandar (CoRR, 2024)

Too Big to Fool: Resisting Deception in Language Models. - Mohammad Reza Samsami; Mats Leon Richter; Juan A. Rodríguez; Megh Thakkar; Sarath Chandar; Maxime Gasse (CoRR, 2024)

ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering. - Ahmed Masry; Mohammed Saidul Islam; Mahir Ahmed; Aayush Bajaj; Firoz Kabir; Aaryaman Kartha; Md. Tahmid Rahman Laskar; Mizanur Rahman; Shadikur Rahman; Mehrad Shahmohammadi; Megh Thakkar; Md. Rizwan Parvez; et al. (ACL (Findings), 2025)

ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild. - Ahmed Masry; Megh Thakkar; Aayush Bajaj; Aaryaman Kartha; Enamul Hoque; Shafiq Joty (COLING (Industry), 2025)

The BrowserGym Ecosystem for Web Agent Research. - Thibault Le Sellier de Chezelles; Maxime Gasse; Alexandre Lacoste; Massimo Caccia; Alexandre Drouin; Léo Boisvert; Megh Thakkar; Tom Marty; Rim Assouel; Sahar Omidi Shayegan; Lawrence Keunho Jang; Xing Han Lù; et al. (Trans. Mach. Learn. Res., 2025)

LineRetriever: Planning-Aware Observation Reduction for Web Agents. - Imene Kerboua; Sahar Omidi Shayegan; Megh Thakkar; Xing Han Lù; Massimo Caccia; Véronique Eglin; Alexandre Aussem; Jérémy Espinas; Alexandre Lacoste (CoRR, 2025)

How to Train Your LLM Web Agent: A Statistical Diagnosis. - Dheeraj Vattikonda; Santhoshi Ravichandran; Emiliano Penaloza; Hadi Nekoei; Megh Thakkar; Thibault Le Sellier de Chezelles; Nicolas Gontier; Miguel Muñoz-Mármol; Sahar Omidi Shayegan; Stefania Raimondo; Xue Liu; Alexandre Drouin; et al. (CoRR, 2025)

BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning. - Ahmed Masry; Abhay Puri; Masoud Hashemi; Juan A. Rodríguez; Megh Thakkar; Khyati Mahajan; Vikas Yadav; Sathwik Tejaswi Madhusudhan; Alexandre Piché; Dzmitry Bahdanau; Christopher Pal; David Vázquez 001; et al. (CoRR, 2025)