An FPGA Based Architecture of a Novel Reconfigurable Radio Processor for Software Defined Radio. - Amrita Saha; Amitabha Sinha (ICETC, 2009)

Secure connectivity model in Wireless Sensor Networks (WSN) using first order Reed-Muller codes. - Pinaki Sarkar; Amrita Saha; Morshed U. Chowdhury (MASS, 2010)

Secure Connectivity Model In Wireless Sensor Network(WSN) Using 1st Order Reed Muller Codes. - Pinaki Sarkar; Amrita Saha; Morshed U. Chowdhury (IACR Cryptol. ePrint Arch., 2010)

Highly Resilient Communication Using Affine Planes for Key Predistribution and Reed Muller Codes for Connectivity in Wireless Sensor Network. - Samiran Bag; Amrita Saha; Pinaki Sarkar (WiMo/CoNeCo, 2011)

Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces. - Naveen Nair; Amrita Saha; Ganesh Ramakrishnan; Shonali Krishnaswamy (AAAI, 2012)

What Kinds of Relational Features Are Useful for Statistical Learning? - Amrita Saha; Ashwin Srinivasan 001; Ganesh Ramakrishnan (ILP, 2012)

Multisource Adaptive Data Distribution and Routing in Wireless Sensor Networks - Subhabrata Mukherjee; Amrita Saha; Mrinal K. Naskar; Amitava Mukherjee 001 (CoRR, 2012)

Optimally Extracting Discriminative Disjunctive Features for Dimensionality Reduction. - Amrita Saha; Naveen Nair; Ganesh Ramakrishnan (COMAD, 2013)

An integrated development platform of a reconfigurable radio processor for software defined radio. - Amrita Saha; Pijush Biswas; Amitabha Sinha (SIGARCH Comput. Archit. News, 2013)

Performance analysis of a FPGA based novel binary and DBNS multiplier. - Amrita Saha; Manideepa Mukherjee; Debanjana Datta; Sangita Saha; Amitabha Sinha (SIGARCH Comput. Archit. News, 2013)

Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. - Noam Slonim; Ehud Aharoni; Carlos Alzate; Roy Bar-Haim; Yonatan Bilu; Lena Dankin; Iris Eiron; Daniel Hershcovich; Shay Hummel; Mitesh M. Khapra; Tamar Lavee; Ran Levy 001; et al. (COLING (Demos), 2014)

An Autoencoder Approach to Learning Bilingual Word Representations. - A. P. Sarath Chandar; Stanislas Lauly; Hugo Larochelle; Mitesh M. Khapra; Balaraman Ravindran; Vikas C. Raykar; Amrita Saha (NIPS, 2014)

AUC dominant unsupervised ensemble of binary classifiers. - Priyanka Agrawal; Vikas C. Raykar; Amrita Saha (SDM, 2014)

Data Split Strategiesfor Evolving Predictive Models. - Vikas C. Raykar; Amrita Saha (ECML/PKDD (1), 2015)

Taxonomy grounded aggregation of classifiers with different label sets. - Amrita Saha; Sathish Indurthi; Shantanu Godbole; Subendhu Rongali; Vikas C. Raykar (CoRR, 2015)

A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. - Amrita Saha; Mitesh M. Khapra; Sarath Chandar; Janarthanan Rajendran; Kyunghyun Cho (COLING, 2016)

Stance Classification of Context-Dependent Claims. - Roy Bar-Haim; Indrajit Bhattacharya; Francesco Dinuzzo; Amrita Saha; Noam Slonim (EACL (1), 2017)

Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations. - Amrita Saha; Mitesh M. Khapra; Karthik Sankaranarayanan (CoRR, 2017)

Towards Building Large Scale Multimodal Domain-Aware Conversation Systems. - Amrita Saha; Mitesh M. Khapra; Karthik Sankaranarayanan (AAAI, 2018)

Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. - Amrita Saha; Vardaan Pahuja; Mitesh M. Khapra; Karthik Sankaranarayanan; Sarath Chandar (AAAI, 2018)

DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. - Amrita Saha; Rahul Aralikatte; Mitesh M. Khapra; Karthik Sankaranarayanan (ACL (1), 2018)

Learning Disentangled Multimodal Representations for the Fashion Domain. - Amrita Saha; Megha Nawhal; Mitesh M. Khapra; Vikas C. Raykar (WACV, 2018)

Risk Averse Reinforcement Learning for Mixed Multi-agent Environments. - Sai Koti Reddy Danda; Amrita Saha; Srikanth G. Tamilselvam; Priyanka Agrawal; Pankaj Dayama 001 (AAMAS, 2019)

Neural Program Induction for KBQA Without Gold Programs or Query Annotations. - Ghulam Ahmed Ansari; Amrita Saha; Vishwajeet Kumar; Mohan Bhambhani; Karthik Sankaranarayanan; Soumen Chakrabarti (IJCAI, 2019)

Scene Graph based Image Retrieval - A case study on the CLEVR Dataset. - Sahana Ramnath; Amrita Saha; Soumen Chakrabarti; Mitesh M. Khapra (CoRR, 2019)

Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs. - Amrita Saha; Ghulam Ahmed Ansari; Abhishek Laddha; Karthik Sankaranarayanan; Soumen Chakrabarti (Trans. Assoc. Comput. Linguistics, 2019)

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning. - Amrita Saha; Shafiq R. Joty; Steven C. H. Hoi (CoRR, 2021)

Merlion: A Machine Learning Library for Time Series. - Aadyot Bhatnagar; Paul Kassianik; Chenghao Liu; Tian Lan 006; Wenzhuo Yang; Rowan Cassius; Doyen Sahoo; Devansh Arpit; Sri Subramanian; Gerald Woo; Amrita Saha; Arun Kumar Jagota; et al. (CoRR, 2021)

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text. - Amrita Saha; Shafiq R. Joty; Steven C. H. Hoi (AAAI, 2022)

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. - Rishabh Bhardwaj; Amrita Saha; Steven C. H. Hoi; Soujanya Poria (EMNLP, 2022)

Learning Label Modular Prompts for Text Classification in the Wild. - Hailin Chen; Amrita Saha; Shafiq R. Joty; Steven C. H. Hoi (EMNLP, 2022)

Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps. - Amrita Saha; Steven C. H. Hoi (ICSE (SEIP), 2022)

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. - Rishabh Bhardwaj; Amrita Saha; Steven C. H. Hoi (CoRR, 2022)

Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation. - Hailin Chen; Amrita Saha; Steven Chu-Hong Hoi; Shafiq Joty (EMNLP, 2023)

LogAI: A Library for Log Analytics and Intelligence. - Qian Cheng; Amrita Saha; Wenzhuo Yang; Chenghao Liu; Doyen Sahoo; Steven C. H. Hoi (CoRR, 2023)

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges. - Qian Cheng; Doyen Sahoo; Amrita Saha; Wenzhuo Yang; Chenghao Liu; Gerald Woo; Manpreet Singh; Silvio Savarese; Steven C. H. Hoi (CoRR, 2023)

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation. - Hailin Chen; Amrita Saha; Steven C. H. Hoi; Shafiq Joty (CoRR, 2023)

Merlion: End-to-End Machine Learning for Time Series. - Aadyot Bhatnagar; Paul Kassianik; Chenghao Liu; Tian Lan 006; Wenzhuo Yang; Rowan Cassius; Doyen Sahoo; Devansh Arpit; Sri Subramanian; Gerald Woo; Amrita Saha; Arun Kumar Jagota; et al. (J. Mach. Learn. Res., 2023)

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. - Hung Le 003; Hailin Chen; Amrita Saha; Akash Gokul; Doyen Sahoo; Shafiq Joty (ICLR, 2024)

ThinK: Thinner Key Cache by Query-Driven Pruning. - Yuhui Xu; Zhanming Jie; Hanze Dong; Lei Wang; Xudong Lu; Aojun Zhou; Amrita Saha; Caiming Xiong; Doyen Sahoo (CoRR, 2024)

MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs. - Lei Wang 185; Shan Dong; Yuhui Xu; Hanze Dong; Yalu Wang; Amrita Saha; Ee-Peng Lim; Caiming Xiong; Doyen Sahoo (CoRR, 2024)

XForecast: Evaluating Natural Language Explanations for Time Series Forecasting. - Taha Aksu; Chenghao Liu; Amrita Saha; Sarah Tan; Caiming Xiong; Doyen Sahoo (CoRR, 2024)

Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction. - Yiheng Xu; Zekun Wang; Junli Wang; Dunjie Lu; Tianbao Xie; Amrita Saha; Doyen Sahoo; Tao Yu 009; Caiming Xiong (CoRR, 2024)

ThinK: Thinner Key Cache by Query-Driven Pruning. - Yuhui Xu; Zhanming Jie; Hanze Dong; Lei Wang 185; Xudong Lu; Aojun Zhou; Amrita Saha; Caiming Xiong; Doyen Sahoo (ICLR, 2025)

Automatic Curriculum Expert Iteration for Reliable LLM Reasoning. - Zirui Zhao; Hanze Dong; Amrita Saha; Caiming Xiong; Doyen Sahoo (ICLR, 2025)

Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models. - Zhiyuan Hu; Yibo Wang; Hanze Dong; Yuhui Xu; Amrita Saha; Caiming Xiong; Bryan Hooi; Junnan Li 001 (CoRR, 2025)

GTA1: GUI Test-time Scaling Agent. - Yan Yang; Dongxu Li; Yutong Dai 002; Yuhao Yang; Ziyang Luo; Zirui Zhao; Zhiyuan Hu; Junzhe Huang; Amrita Saha; Zeyuan Chen 001; Ran Xu 001; Liyuan Pan; et al. (CoRR, 2025)

MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers. - Ziyang Luo; Zhiqi Shen; Wenzhuo Yang; Zirui Zhao; Prathyusha Jwalapuram; Amrita Saha; Doyen Sahoo; Silvio Savarese; Caiming Xiong; Junnan Li 001 (CoRR, 2025)