RL's Razor: Why Online RL Forgets Less

Why Language Models Hallucinate

ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Sample Efficient Preference Alignment in LLMs via Active Exploration

Adventures in Demand Analysis Using AI

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

On the Theoretical Limitations of Embedding-Based Retrieval

Performance Prediction for Large Systems via Text-to-Text Regression

Demystifying the Visual Quality Paradox in Multimodal Large Language Models

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

Compute-Optimal Scaling for Value-Based Deep RL

LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience

Signal and Noise: Evaluating Language Model Benchmarks

Breaking Feedback Loops in Recommender Systems with Causal Inference

RAG is Dead, Context Engineering is King: Building Reliable AI Systems

A Survey of Personalization: From RAG to Agent

Facilitating the Adoption of Causal Infer-ence Methods Through LLM-Empowered Co-Pilot

Performance Prediction for Large Systems via Text-to-Text Regression

Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning

DINOv3: Vision Models for Self-Supervised Learning