Phi Labs Research Publications
Discover our peer-reviewed conference papers, technical journal contributions, and scientific advancements in artificial intelligence.
Search-Based Risk Feature Discovery in Document Structure Spaces under a Constrained Budget
ACM GECCO, San José, July 2026
Stop Thinking, Start Looking: Efficient Post-Training for Multimodal Document Question Answering via Reasoning-Free Alignment
EMM-QA Workshop, ICML, Seoul, July 2026
APLE: A Framework for Adaptable and Personalized Live Explainability for Recommender Systems
ACM Web Science Conference, Germany, May 2026
PROTEUS: SLA-Aware Routing via Lagrangian RL for Multi-LLM Serving Systems
EuroMLSys, Edinburgh, April 2026
Memories that Discriminate: Detecting and Correcting Bias in Personalized Hiring Agents
ICLR AFAA Workshop, Rio de Janeiro, April 2026
How AI Learns the Laws of Physics: Building Smarter Engineering Systems
Invited Talk at American Society of Mechanical Engineers (ASME) E-Fest Tech Connect (Virtual), Mar 2026
From Personalization to Prejudice: Bias and Discrimination in Memory-Enhanced AI Agents for Recruitment
ACM International Conference on Web Search and Data Mining (WSDM), San Diego, Feb 2026
State of Health Estimation of Batteries Using a Time-Informed Dynamic Sequence-Inverted Transformer
AI for Time Series (AI4TS) Workshop at AAAI Conference 2026, Singapore, Jan 2026
DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting
Deployable AI Workshop at AAAI Conference 2026, Singapore, Jan 2026