Trend 4 — Test-time training, finally working at scale
Several papers turn fixed-context retrospection into actual weight updates at test time, with surprisingly strong results.
Papers
spotlight·iEmRSwdzyw— Test-Time Self-Distillation — (spotlight) SDPO — same model plays self-teacher (conditioned on textual feedback) and student. The self-teacher solves <1% of LiveCodeBench-very-hard problems but its credit assignment is still informative enough to bootstrap improvement.spotlight·GjoUJTfXiW— Adaptive Meta-Curriculum for Test-Time Self-Improvement — AMC-TSI — meta-learns the difficulty estimator + operator selector, allocates 6× more compute to hard problems, hits 95% of oracle accuracy on MATH at 2.3× less total compute.poster·DROMQyqM52— Reasoning Cache: Learning to Extrapolate to Long Lengths via Short-Length RL — Reasoning Cache — short-budget RL + summarize-regenerate at inference: 4B model goes 40% → 70% on HMMT 2025 with 512k test tokens.short_paper·G0GE1xbR0w— Test-Time Meta-Adaptation with Self-Synthesis — MASS — meta-learn an LLM that synthesizes per-problem training data on the fly.poster·7fIqKZ92Fy— Adaptive Decoding via Test-Time Policy Learning for Self-Improving Generation — Adaptive Decoding — RL policy adjusts temperature/top-p as a function of hidden state; up to +88% relative on BookSum.poster·sSwXGq1RRI— Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping — Constructive Distortion — re-warp the input image based on the model's own attention; gains across 10 VL benchmarks with no parameter updates.poster·UcIFJPXqrB— AlphaApollo: A System for Deep Agentic Reasoning — AlphaApollo — Qwen2.5-3B Avg@32 jumps 1.07% → 9.64% via tool-RL + iterative evolution.
Synthesis
The line between inference and training is dissolving. The cleanest result is SDPO's: a near-zero-skill self-teacher can still drive learning if its retrospection is converted into a gradient.
Related
- Trend 2 — The Critic Bottleneck (the self-teacher is itself a critic)
- Trend 10 — Self-Curriculum from Learnability (AMC-TSI is also a curriculum paper)
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