#test-time adaptation

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4 papers match

cs.RO2026

RL-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models

Derek Ming Siang Tan, Shailesh Shailesh, Srikrishna Iyer +4

The paper presents RL², an adaptive test‑time steering framework that uses offline reinforcement learning on latent features from a frozen Vision‑Language‑Action model to compose a…

#vision-language-action#offline reinforcement learning#test-time adaptation#latent compositional steering
cs.CV2026

ME-IQA: Memory-Enhanced Image Quality Assessment via Re-Ranking

Kanglong Fan, Tianhe Wu, Wen Wen +6

The paper introduces ME‑IQA, a test‑time memory‑enhanced re‑ranking framework that leverages a memory bank of reasoning summaries to retrieve similar images, converts a vision‑lang…

#image quality assessment#vision-language models#test-time adaptation#memory bank
cs.CL2026

Predict the Retrieval! Test time adaptation for Retrieval Augmented Generation

Xin Sun, Zhongqi Chen, Qiang Liu +5

The paper introduces TTARAG, a test-time adaptation technique that updates a language model's parameters during inference to better integrate retrieved knowledge for specialized do…

#retrieval-augmented generation#test-time adaptation#domain adaptation#question answering
cs.LG2026

Adapting Evidential Neural Networks to Test-Time Neighbor Fusion Improves Molecular Property Prediction

Cameron Gruich, Weichi Yao, Yixin Wang +1

The paper introduces PG‑EVIKAL, a method that refines molecular property predictions at test time by fusing predictions with labels of similar training molecules, using evidential…

#molecular property prediction#evidential neural networks#test-time adaptation#neighbor fusion

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