Research author
Philip Torr
17 AI research papers in the One9Founders library, with summaries and links to original sources.
Papers by Philip Torr
RAP: Research Attention Prediction Reveals Target-Conditioned Evidence Acquisition Biases
Yingqian Wu, Jingcong Liang, Siyuan Wang, et al.
VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning
Junxiang Xu, Ruisi Wang, Fanyi Pu, et al.
Multimodal Model Diffing for Feature Discovery and Control
Hunar Batra, Lachin Naghashyar, Ashkan Khakzar, et al.
Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes
Junlin Han, Shengbang Tong, David Fan, et al.
Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks
Yunqi Xue, Zhijiang Li, Philip Torr, et al.
Running the Gauntlet: Re-evaluating the Capabilities of Agents Beyond Familiar Environments
Mykola Vysotskyi, Runqi Lin, Grzegorz Biziel, et al.
A Low-Rank Subspace Analysis of LLM Interventions
Angira Sharma, Christian Schroeder de Witt, Philip Torr, et al.
When Language Representations Interact: Separability and Cross-Lingual Effects in LLMs
Boris Marinov, Angira Sharma, Christian Schroeder de Witt, et al.
Data Journalist Agent: Transforming Data into Verifiable Multimodal Stories
Kevin Qinghong Lin, Batu EI, Yuhong Shi, et al.
Forecasting Scientific Progress with Artificial Intelligence
Sean Wu, Pan Lu, Yupeng Chen, et al.
ActCam: Zero-Shot Joint Camera and 3D Motion Control for Video Generation
Omar El Khalifi, Thomas Rossi, Oscar Fossey, et al.
StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction
Xiangyuan Xue, Yifan Zhou, Zidong Wang, et al.
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, et al.
LongCoT: Benchmarking Long-Horizon Chain-of-Thought Reasoning
Sumeet Ramesh Motwani, Daniel Nichols, Charles London, et al.
Human-Centric Topic Modeling with Goal-Prompted Contrastive Learning and Optimal Transport
Rui Wang, Yi Zheng, Dongxin Wang, et al.
ActionParty: Multi-Subject Action Binding in Generative Video Games
Alexander Pondaven, Ziyi Wu, Igor Gilitschenski, et al.
Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
Hao Wang, Licheng Pan, Qingsong Wen, et al.