RPI BLENDER TAC-KBP2016 System Description. - Dian Yu 001; Xiaoman Pan; Boliang Zhang; Lifu Huang; Di Lu 003; Spencer Whitehead; Heng Ji 001 (TAC, 2016)

Improving Event Extraction via Multimodal Integration. - Tongtao Zhang; Spencer Whitehead; Hanwang Zhang; Hongzhi Li 001; Joseph G. Ellis; Lifu Huang; Wei Liu 005; Heng Ji 001; Shih-Fu Chang (ACM Multimedia, 2017)

RPI BLENDER TAC-KBP2017 13 Languages EDL System. - Boliang Zhang; Xiaoman Pan; Ying Lin; Tongtao Zhang; Kevin Blissett; Samia Kazemi; Spencer Whitehead; Lifu Huang; Heng Ji 001 (TAC, 2017)

Paper Abstract Writing through Editing Mechanism. - Qingyun Wang 005; Zhihao Zhou; Lifu Huang; Spencer Whitehead; Boliang Zhang; Heng Ji 001; Kevin Knight (ACL (2), 2018)

Global Attention for Name Tagging. - Boliang Zhang; Spencer Whitehead; Lifu Huang; Heng Ji 001 (CoNLL, 2018)

Entity-aware Image Caption Generation. - Di Lu 003; Spencer Whitehead; Lifu Huang; Heng Ji 001; Shih-Fu Chang (EMNLP, 2018)

Incorporating Background Knowledge into Video Description Generation. - Spencer Whitehead; Heng Ji 001; Mohit Bansal; Shih-Fu Chang; Clare R. Voss (EMNLP, 2018)

GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. - Tongtao Zhang; Ananya Subburathinam; Ge Shi 002; Lifu Huang; Di Lu 003; Xiaoman Pan; Manling Li; Boliang Zhang; Qingyun Wang 005; Spencer Whitehead; Heng Ji 001; Alireza Zareian; et al. (TAC, 2018)

Studying Wythoff and Zometool Constructions Using Maple. - Benoit Charbonneau; Spencer Whitehead (MC, 2019)

Multilingual Entity, Relation, Event and Human Value Extraction. - Manling Li; Ying Lin; Joseph Hoover; Spencer Whitehead; Clare R. Voss; Morteza Dehghani; Heng Ji 001 (NAACL-HLT (Demonstrations), 2019)

GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. - Manling Li; Ying Lin; Ananya Subburathinam; Spencer Whitehead; Xiaoman Pan; Di Lu 003; Qingyun Wang 005; Tongtao Zhang; Lifu Huang; Heng Ji 001; Alireza Zareian; Hassan Akbari; et al. (TAC, 2019)

A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. - Maxwell Crouse; Spencer Whitehead; Ibrahim Abdelaziz; Bassem Makni; Cristina Cornelio; Pavan Kapanipathi; Edwin Pell; Kavitha Srinivas; Veronika Thost; Michael Witbrock; Achille Fokoue (CoRR, 2019)

Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. - Pavan Kapanipathi; Veronika Thost; Siva Sankalp Patel; Spencer Whitehead; Ibrahim Abdelaziz; Avinash Balakrishnan; Maria Chang 001; Kshitij Fadnis; R. Chulaka Gunasekara; Bassem Makni; Nicholas Mattei; Kartik Talamadupula; et al. (AAAI, 2020)

GAIA: A Fine-grained Multimedia Knowledge Extraction System. - Manling Li; Alireza Zareian; Ying Lin; Xiaoman Pan; Spencer Whitehead; Brian Chen 001; Bo Wu 018; Heng Ji 001; Shih-Fu Chang; Clare R. Voss; Daniel Napierski; Marjorie Freedman (ACL (demo), 2020)

Cross-media Structured Common Space for Multimedia Event Extraction. - Manling Li; Alireza Zareian; Qi Zeng 001; Spencer Whitehead; Di Lu 003; Heng Ji 001; Shih-Fu Chang (ACL, 2020)

Learning from Lexical Perturbations for Consistent Visual Question Answering. - Spencer Whitehead; Hui Wu 009; Yi Ren Fung 001; Heng Ji 001; Rogério Schmidt Feris; Kate Saenko (CoRR, 2020)

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. - Maxwell Crouse; Ibrahim Abdelaziz; Bassem Makni; Spencer Whitehead; Cristina Cornelio; Pavan Kapanipathi; Kavitha Srinivas; Veronika Thost; Michael Witbrock; Achille Fokoue (AAAI, 2021)

Separating Skills and Concepts for Novel Visual Question Answering. - Spencer Whitehead; Hui Wu 009; Heng Ji 001; Rogério Feris; Kate Saenko (CVPR, 2021)

Unifying cross-modal concepts in vision and language - Spencer Whitehead (2021)

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. - Spencer Whitehead; Suzanne Petryk; Vedaad Shakib; Joseph Gonzalez 001; Trevor Darrell; Anna Rohrbach; Marcus Rohrbach (ECCV (36), 2022)

Improving Selective Visual Question Answering by Learning from Your Peers. - Corentin Dancette; Spencer Whitehead; Rishabh Maheshwary; Ramakrishna Vedantam; Stefan Scherer; Xinlei Chen; Matthieu Cord; Marcus Rohrbach (CVPR, 2023)

Segment Anything. - Alexander Kirillov; Eric Mintun; Nikhila Ravi; Hanzi Mao; Chloé Rolland; Laura Gustafson; Tete Xiao; Spencer Whitehead; Alexander C. Berg; Wan-Yen Lo; Piotr Dollár; Ross B. Girshick (ICCV, 2023)

CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning. - Dadallage A. R. Silva; Spencer Whitehead; Christopher T. Lengerich; Hugh Leather (NeurIPS, 2023)

Learning Goal-Conditioned Representations for Language Reward Models. - Vaskar Nath; Dylan Slack; Jeff Da; Yuntao Ma; Hugh Zhang; Spencer Whitehead; Sean Hendryx (NeurIPS, 2024)

Simple Token-Level Confidence Improves Caption Correctness. - Suzanne Petryk; Spencer Whitehead; Joseph E. Gonzalez; Trevor Darrell; Anna Rohrbach; Marcus Rohrbach (WACV, 2024)

Pre-Training Multimodal Hallucination Detectors with Corrupted Grounding Data. - Spencer Whitehead; Jacob Phillips; Sean Hendryx (CoRR, 2024)

Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents. - Vardaan Pahuja; Yadong Lu; Corby Rosset; Boyu Gou; Arindam Mitra; Spencer Whitehead; Yu Su 001; Ahmed Hassan Awadallah (ACL (Findings), 2025)