Language models research

• RealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations

  RealCompanion introduces a longitudinal benchmark derived from 27,218 real-world human-companion messages across up to 120 days, enabling systematic evaluation of an AI companion's selective memory retrieval, profile fact extraction, trait inferencing, and restraint when history is unnecessary.

  2026-10-01 · Evaluation and benchmarks · AI agents · Language models

• The Teacher Is a Direction, Not a Destination: Extrapolating RL-Induced Representation Residuals in On-Policy Distillation

  RIDE pushes a student model beyond its reinforcement-learning teacher by training student hidden representations to overshoot teacher representations along the layerwise residual vector between the teacher and its pre-learning base model, bypassing noisy output-token sampling.

  2026-09-29 · Reinforcement learning · Language models

• Scaling Properties of Same-Family On-Policy Distillation

  By measuring student learning progress through divergence from initialization, this paper fits joint power laws that predict a student language model's peak test accuracy and learning speed from model scale and teacher accuracy before distillation begins.

  2026-09-26 · Language models · Reinforcement learning · Efficient AI

• Raven: The Harness of Harnesses for Composable Agentic Intelligence

  Raven packages language models with domain tools into reusable worker units, using a central host agent to break user requests into workflow graphs, validate file-based handoffs before execution, and run subtasks in parallel.

  2026-09-27 · AI agents · Evaluation and benchmarks · Language models