Improving random walk rankings with feature selection and imputation Science4cast competition, team Hash Brown. - Ngoc Mai Tran; Yangxinyu Xie (IEEE BigData, 2021)

Improving random walk rankings with feature selection and imputation. - Ngoc Mai Tran; Yangxinyu Xie (CoRR, 2021)

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (CoRR, 2022)

A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios. - Yangxinyu Xie; Tanwi Mallick (CoRR, 2023)

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (Nat. Mac. Intell., 2023)

A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners. - Bowen Jiang; Yangxinyu Xie; Zhuoqun Hao; Xiaomeng Wang 002; Tanwi Mallick; Weijie Su 001; Camillo J. Taylor; Dan Roth 001 (EMNLP, 2024)

WildfireGPT: Tailored Large Language Model for Wildfire Analysis. - 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 (CoRR, 2024)

Multi-Modal and Multi-Agent Systems Meet Rationality: A Survey. - Bowen Jiang; Yangxinyu Xie; Xiaomeng Wang 002; Weijie J. Su; Camillo J. Taylor; Tanwi Mallick (CoRR, 2024)

Debiasing Watermarks for Large Language Models via Maximal Coupling. - Yangxinyu Xie; Xiang Li; Tanwi Mallick; Weijie J. Su; Ruixun Zhang (CoRR, 2024)

Towards Rationality in Language and Multimodal Agents: A Survey. - Bowen Jiang; Yangxinyu Xie; Xiaomeng Wang 002; Yuan Yuan; Zhuoqun Hao; Xinyi Bai; Weijie J. Su; Camillo Jose Taylor; Tanwi Mallick (NAACL (Long Papers), 2025)

Information Retrieval for Climate Impact. - 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; et al. (CoRR, 2025)

A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation. - 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 001; et al. (CoRR, 2025)

GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data? - Bowen Jiang; Yangxinyu Xie; Xiaomeng Wang 002; Jiashu He; Joshua David Bergerson; John K. Hutchison; Jordan Branham; Camillo J. Taylor; Tanwi Mallick (CoRR, 2025)

Comparative Evaluation of Prompting and Fine-Tuning for Applying Large Language Models to Grid-Structured Geospatial Data. - Akash Dhruv; Yangxinyu Xie; Jordan Branham; Tanwi Mallick (CoRR, 2025)

Foundations of Top-k Decoding For Language Models. - Georgy Noarov; Soham Mallick; Tao Wang; Sunay Joshi; Yan Sun; Yangxinyu Xie; Mengxin Yu; Edgar Dobriban (CoRR, 2025)