Papers

Filtered to heterogeneous supervision · clear filter

Browse by term

continual learning 91reinforcement learning 43vision-language models 18benchmarking 12benchmarks 11robotics 11large language models 10language models 9world models 9video generation 6generative models 5multimodal models 5natural language processing 5recursive self-improvement 5video world models 5agents 4dialogue systems 4diffusion models 4foundation models 4multimodal large language models 4on-policy distillation 4reasoning 4self-distillation 4self-supervised learning 4conversational AI 3evaluation benchmarks 3human-computer interaction 3LLMs 3multi-agent systems 3policy optimization 3

Matching papers

ChronoReplay: One Answer Interface Is Not Enough for Streaming Spatial Intelligence

340 upvotes · 25 OCT 2026 · Yihao Hu, Yitong Lin, Pan Wang et al.

This paper addresses a problem in training spatial vision-language models (VLMs) where the model becomes specialized in answering certain types of questions, but loses its ability to perform well on others. A new method called ChronoReplay is proposed to improve the model's ability to generalize across different question types.

spatial VLMscontinual learningheterogeneous supervisionchronological replaybenchmarking