Tanwi Mallick

57 papers A* 1A 1B 1C 1Misc 1Journal 33Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
SCORE: Specificity, Context Utilization, Robustness, and Relevance for Reference-Free LLM Evaluation.
CoRR
Homaira Huda Shomee, Rochana Chaturvedi, Yangxinyu Xie, Tanwi Mallick
2026 J jnl
Split-on-Share: Mixture of Sparse Experts for Task-Agnostic Continual Learning.
CoRR
Fatema Siddika, Md. Anwar Hossen, Tanwi Mallick, Ali Jannesari
2026 J jnl
Statistical Early Stopping for Reasoning Models.
CoRR
Yangxinyu Xie, Tao Wang, Soham Mallick, Yan Sun, Georgy Noarov, Mengxin Yu, Tanwi Mallick, Weijie J. Su, Edgar Dobriban
2026 J jnl
Toward Reliable, Safe, and Secure LLMs for Scientific Applications.
CoRR
Saket Sanjeev Chaturvedi, Joshua David Bergerson, Tanwi Mallick
2025 J jnl
A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation.
CoRR
Yangxinyu Xie, Bowen Jiang, Tanwi Mallick, Joshua David Bergerson, John K. Hutchison, Duane R. Verner, Jordan Branham, M. Ross Alexander, Robert B. Ross, Yan Feng, Leslie-Anne Levy, Weijie Su, Camillo J. Taylor
2025 — conf
Analyzing a Lifetime of Failures on a Cray XC40 Supercomputer.
CUG
Kevin A. Brown, Tanwi Mallick, Zhiling Lan, Robert B. Ross, Christopher D. Carothers
2025 — conf
Beyond End-to-End: Understanding the Limits of LLMs in Scientific Problem Solving.
SC Workshops
Youyuan Liu, Sheng Di, Neil Getty, Tanwi Mallick, Robert Underwood, Sian Jin
2025 — conf
ChatVis: Large Language Model Agent for Generating Scientific Visualizations.
LDAV
Tom Peterka, Tanwi Mallick, Orcun Yildiz, David Lenz, Cory Quammen, Berk Geveci
2025 J jnl
ChatVis: Large Language Model Agent for Generating Scientific Visualizations.
CoRR
Tom Peterka, Tanwi Mallick, Orcun Yildiz, David Lenz, Cory Quammen, Berk Geveci
2025 J jnl
Comparative Evaluation of Prompting and Fine-Tuning for Applying Large Language Models to Grid-Structured Geospatial Data.
CoRR
Akash Dhruv, Yangxinyu Xie, Jordan Branham, Tanwi Mallick
2025 — conf
ControlA: Agentic Workflow Control Mechanisms for Reliable Science.
eScience
Amal Gueroudji, Tanwi Mallick, Renan Souza, Rafael Ferreira da Silva, Robert B. Ross, Matthieu Dorier, Philip H. Carns, Kyle Chard, Ian T. Foster
2025 J jnl
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants.
CoRR
Franck Cappello, Sandeep Madireddy, Robert Underwood, Neil Getty, Nicholas Lee-Ping Chia, Nesar Ramachandra, Josh Nguyen, Murat Keçeli, Tanwi Mallick, Zilinghan Li, Marieme Ngom, Chenhui Zhang, Angel Yanguas-Gil, Evan R. Antoniuk, Bhavya Kailkhura, Minyang Tian, Yufeng Du, Yuan-Sen Ting, Azton Wells, Bogdan Nicolae, Avinash Maurya, M. Mustafa Rafique, Eliu A. Huerta, Bo Li, Ian T. Foster, Rick Stevens
2025 J jnl
GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data?
CoRR
Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang, Jiashu He, Joshua David Bergerson, John K. Hutchison, Jordan Branham, Camillo J. Taylor, Tanwi Mallick
2025 J jnl
Information Retrieval for Climate Impact.
CoRR
Maarten de Rijke, Bart van den Hurk, Flora Salim, Alaa Al Khourdajie, Nan Bai, Renato Calzone, Declan J. Curran, Getnet Demil, Lesley Frew, Noah Gießing, Mukesh Kumar Gupta, Maria Heuss, Sanaa Hobeichi, David Huard, Jingwei Kang, Ana Lucic, Tanwi Mallick, Shruti Nath, Andrew Okem, Barbara Pernici, Thilina Rajapakse, Hira Saleem, Harry Scells, Nicole Schneider, Damiano Spina, Yuanyuan Tian, Edmund Totin, Andrew Trotman, Ramamurthy Valavandan, Dereje Workneh, Yangxinyu Xie
2025 J jnl
LUMINA: Detecting Hallucinations in RAG System with Context-Knowledge Signals.
CoRR
Min-Hsuan Yeh, Yixuan Li, Tanwi Mallick
2025 A conf
PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training.
SC
Seth Ockerman, Amal Gueroudji, Tanwi Mallick, Yixuan He, Line Pouchard, Robert B. Ross, Shivaram Venkataraman
2025 J jnl
PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training.
CoRR
Seth Ockerman, Amal Gueroudji, Tanwi Mallick, Yixuan He, Line Pouchard, Robert B. Ross, Shivaram Venkataraman
2025 J jnl
Report on the 1st Workshop on Information Retrieval for Climate Impact (MANILA24) at SIGIR 2024.
SIGIR Forum
Maarten de Rijke, Bart van den Hurk, Flora Salim, Alaa Al Khourdajie, Nan Bai, Renato Calzone, Declan J. Curran, Getnet Demil, Lesley Frew, Noah Gießing, Mukesh Kumar Gupta, Maria Heuss, Sanaa Hobeichi, David Huard, Jingwei Kang, Ana Lucic, Tanwi Mallick, Shruti Nath, Andrew Okem, Barbara Pernici, Thilina Rajapakse, Hira Saleem, Harry Scells, Nicole Schneider, Damiano Spina, Yuanyuan Tian, Edmund Totin, Andrew Trotman, Ramamurthy Valavandan, Dereje Workneh, Yangxinyu Xie
2025 — conf
Towards Rationality in Language and Multimodal Agents: A Survey.
NAACL (Long Papers)
Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang, Yuan Yuan, Zhuoqun Hao, Xinyi Bai, Weijie J. Su, Camillo Jose Taylor, Tanwi Mallick
2024 A* conf
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners.
EMNLP
Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie Su, Camillo J. Taylor, Dan Roth
2024 J jnl
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners.
CoRR
Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie J. Su, Camillo J. Taylor, Dan Roth
2024 J jnl
Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques.
CoRR
Tanwi Mallick, John Murphy, Joshua David Bergerson, Duane R. Verner, John K. Hutchison, Leslie-Anne Levy
2024 — conf
ChatVis: Automating Scientific Visualization with a Large Language Model.
SC Workshops
Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka
2024 J jnl
ChatVis: Automating Scientific Visualization with a Large Language Model.
CoRR
Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka
2024 J jnl
Debiasing Watermarks for Large Language Models via Maximal Coupling.
CoRR
Yangxinyu Xie, Xiang Li, Tanwi Mallick, Weijie J. Su, Ruixun Zhang
2024 — conf
IPDPS 2024 PhD Forum.
IPDPS (Workshops)
Sanmukh Kuppannagari, Tanwi Mallick
2024 J jnl
Multi-Modal and Multi-Agent Systems Meet Rationality: A Survey.
CoRR
Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang, Weijie J. Su, Camillo J. Taylor, Tanwi Mallick
2024 — conf
Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features.
SIGSIM-PADS
Xiongxiao Xu, Kevin A. Brown, Tanwi Mallick, Xin Wang, Elkin Cruz-Camacho, Robert B. Ross, Christopher D. Carothers, Zhiling Lan, Kai Shu
2024 J jnl
Uncertainty Quantification for Traffic Forecasting Using Deep-Ensemble-Based Spatiotemporal Graph Neural Networks.
IEEE Trans. Intell. Transp. Syst.
Tanwi Mallick, Jane MacFarlane, Prasanna Balaprakash
2024 Misc conf
Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting.
ICASSP
Qipeng Qian, Tanwi Mallick
2024 J jnl
Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting.
CoRR
Qipeng Qian, Tanwi Mallick
2024 — conf
Welcome Message from LLMxHPC Workshop.
CLUSTER Workshops
Kevin A. Brown, Tanwi Mallick, Juliane Mueller, Aleksandr Drozd
2024 J jnl
WildfireGPT: Tailored Large Language Model for Wildfire Analysis.
CoRR
Yangxinyu Xie, Tanwi Mallick, Joshua David Bergerson, John K. Hutchison, Duane R. Verner, Jordan Branham, M. Ross Alexander, Robert B. Ross, Yan Feng, Leslie-Anne Levy, Weijie J. Su
2023 J jnl
A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios.
CoRR
Yangxinyu Xie, Tanwi Mallick
2023 J jnl
Analyzing the impact of climate change on critical infrastructure from the scientific literature: A weakly supervised NLP approach.
CoRR
Tanwi Mallick, Joshua David Bergerson, Duane R. Verner, John K. Hutchison, Leslie-Anne Levy, Prasanna Balaprakash
2023 C conf
Graph Pyramid Autoformer for Long- Term Traffic Forecasting.
ICMLA
Weiheng Zhong, Tanwi Mallick, Jane MacFarlane, Hadi Meidani, Prasanna Balaprakash
2022 J jnl
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting.
CoRR
Tanwi Mallick, Prasanna Balaprakash, Jane MacFarlane
2022 J jnl
Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting.
CoRR
Weiheng Zhong, Tanwi Mallick, Hadi Meidani, Jane MacFarlane, Prasanna Balaprakash
2022 J jnl
Posture and sequence recognition for
J. Vis. Commun. Image Represent.
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
2021 J jnl
A data-centric weak supervised learning for highway traffic incident detection.
CoRR
Yixuan Sun, Tanwi Mallick, Prasanna Balaprakash, Jane MacFarlane
2020 J jnl
Beat Detection and Automatic Annotation of the Music of Bharatanatyam Dance using Speech Recognition Techniques.
CoRR
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
2020 J jnl
Bharatanatyam Dance Transcription using Multimedia Ontology and Machine Learning.
CoRR
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
2020 J jnl
Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks.
CoRR
Tanwi Mallick, Mariam Kiran, Bashir Mohammed, Prasanna Balaprakash
2020 B conf
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting.
ICPR
Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane
2020 J jnl
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting.
CoRR
Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane
2019 J jnl
Graph-Partitioning-Based Diffusion Convolution Recurrent Neural Network for Large-Scale Traffic Forecasting.
CoRR
Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane
2019 J jnl
Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach.
CoRR
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
2018 — ch.
Characterization, Detection, and Synchronization of Audio-Video Events in Bharatanatyam Adavus.
Heritage Preservation
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
2017 — conf
Automated Translation of Human Postures from Kinect Data to Labanotation.
NCVPRIPG
Anindhya Sankhla, Vinanti Kalangutkar, Himadri B. G. S. Bhuyan, Tanwi Mallick, Vivek Nautiyal, Partha Pratim Das, Arun Kumar Majumdar
2017 — conf
NrityaGuru: A Dance Tutoring System for Bharatanatyam Using Kinect.
NCVPRIPG
Achyuta Aich, Tanwi Mallick, Himadri B. G. S. Bhuyan, Partha Pratim Das, Arun Kumar Majumdar
2016 — conf
Facial Emotion Recognition from Kinect Data - An Appraisal of Kinect Face Tracking Library.
VISIGRAPP (4: VISAPP)
Tanwi Mallick, Palash Goyal, Partha Pratim Das, Arun Kumar Majumdar
2016 — conf
Fast Gait Recognition from Kinect Skeletons.
VISIGRAPP (3: VISAPP)
Tanwi Mallick, Ankit Khedia, Partha Pratim Das, Arun Kumar Majumdar
2016 — conf
Using Musical Beats to Segment Videos of Bharatanatyam Adavus.
CVIP (1)
Tanwi Mallick, Akash Anuj, Partha Pratim Das, Arun Kumar Majumdar
2015 — conf
Omni-directional Reconstruction of Human Figures from Depth Data using Mirrors.
VISAPP (3)
Tanwi Mallick, Rishabh Agrawal, Partha Pratim Das, Arun Kumar Majumdar
2015 — conf
Robust control of applications by hand-gestures.
NCVPRIPG
Akash Anuj, Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
2014 — conf
Study of Interference Noise in Multi-Kinect Set-up.
VISAPP (1)
Tanwi Mallick, Partha Pratim Das, Arun K. Majumdar
2013 — conf
Estimation of the orientation and distance of a mirror from Kinect depth data.
NCVPRIPG
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar