Overview

Adaptive inference studies how to change the amount or form of computation according to each input, the system’s current resources, or the data collected so far. Common approaches include early-exit networks, confidence-based cascades and model routing, dynamic depth or resolution, and adaptive reasoning or sampling under a compute budget. In statistics, related work develops calibration, conformal prediction, and asymptotic guarantees for estimates produced by adaptive experiments such as contextual bandits. The central tension is whether signals like confidence or difficulty reliably identify when extra computation helps, especially under distribution shift and when efficiency gains must not compromise accuracy, coverage, or safety.

Latest papers

CardsList

95 papers10 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

  1. Thermal-Headroom Routing for Efficient Robot Perception in Extreme Heat

    Oct 26, 2026Sparsh Roy, Kevin Zhou, Arhaan Shah +4Power-Efficient InferenceAdaptive Inference

  2. TrustAgent-RFF: Agentic Diagnostic Planning for Reliable RF Fingerprinting under Domain Shift

    Oct 18, 2026Chuan Liu, Tianya Zhao, Yiting Wang +2RF Fingerprint IdentificationDistribution Shift Robustness

  3. DIAL: Dynamic and Informed Adjustment of the Native Stochastic Law for Reliable Weather Ensembles

    Oct 15, 2026Yucheng Wang, Haonan Guo, Tianhao Zhao +4Weather ForecastingProbabilistic Forecasting

  4. DPA-MoE: A Runtime Precision Control Framework for MoE Inference

    Oct 15, 2026Jaeyun Kim, Hoonki Lee, Susie Shin +3Mixture-of-Experts InferenceAdaptive Inference

  5. Selection-Safe Conformal Early Exit: Distribution-Free Coverage under Adaptive Depth

    Oct 14, 2026Adria Binte Habib, Ibne Farabi ShihabConformal PredictionAdaptive Inference

  6. Exploring Jailbreak Vulnerability Across Depth-Based Dynamic Inference in Large Language Models

    Oct 10, 2026Lass Najmuldeen, Seyedhamidreza MousaviAdversarial Robustness of Language ModelsLLM Jailbreak Attacks

  7. Sampling Allocation of LinUCB: Optimal Design Limits in the Small-Gap Regime

    Oct 5, 2026Yujie Liu, Vincent Y. F. Tan, Yunbei XuAdaptive InferenceContextual Bandits

  8. Adaptive Self-Consistency: From Black-Box Sampling to Distribution-Valued Feedback

    Sep 30, 2026Jingkai Huang, Yunfan Zhang, Will Ma +2LLM Inference EfficiencyAdaptive Inference

  9. Not Every Correction Helps: Gain-Guided Continual Test-Time Adaptation

    Sep 29, 2026Youjia Zhang, Huiling Liu, Soyun Choi +2Adaptive InferenceTest-Time Adaptation

  10. Scheduling Recursive Reasoning in Looped Transformers

    Sep 29, 2026Boyuan Wang, Chengyao Yu, Jiaxi Ren +3Adaptive InferenceRecurrent Transformers

  11. AnyStep-WAM: Budget-Aligned Distillation and Adaptive Inference for World Action Models

    Sep 27, 2026Rui Wang, Xiangyu Wang, Donglin Yang +4Adaptive InferenceDiffusion Model Distillation

  12. SenseAgent: An LLM Agent for Adaptive Cross-Domain IMU Sensing

    Sep 25, 2026Tianya Zhao, Chuan Liu, Xuyu WangAdaptive SensingWearable Sensing

  13. SlackDrive: Reclaiming Runtime Slack for Adaptive Driving Inference

    Sep 23, 2026Xiaohuan Pei, Hengguang Zhou, Yuanhao Ban +7Inference-Time Compute AllocationAdaptive Inference

  14. LearnActCoder: Role-Aware Error Memory for Adaptive Clinical Coding Agents

    Sep 17, 2026Meysam Ghaffari, Bhaskar Sen, Nasim Sabetpour +3Adaptive InferenceAutomated Medical Coding

  15. Route, Don't Fix: Regime-Dependent Decoding Correction and a Trajectory-Gated Router for Reliable Clinical LLM Answer Selection

    Sep 13, 2026Zeyu Dong, Benjamin Wang, Joyee W. JinAdaptive InferenceLanguage Model Decoding

  16. Not All Speech Is Intent: Adaptive Self-Correcting Inference Layer for Post-ASR False Wake-Up

    Sep 11, 2026Preeti Saraswat, Divya Neelagiri, Anil YadavAdaptive InferenceOnline Learning

  17. Settling: Equilibrium Inference for Non-Convex Validity Sets

    Sep 9, 2026Lyes Saad SaoudAdaptive Inference

  18. Adaptive Gated Deepfake Detection for Low-Resolution and Resource-Constrained Environments

    Sep 4, 2026Vaishnavi Sen, Cody Laurie, Rashida HasanDeepfake DetectionAdaptive Inference

  19. StreamScout: Learning When to Look Deeper for Streaming Video Understanding

    Aug 31, 2026Ce Zhang, Jing Bi, Jinxi He +9Adaptive InferenceStreaming Video Understanding

  20. AutoCRAT: Within-trajectory Joint Control of Stochasticity and Compute for LLM Reasoning

    Aug 30, 2026Hanjun Luo, Qiushi Liu, Jingya Zhang +8Adaptive InferenceLLM Inference Acceleration

  21. AERA: Adaptive Evidence Residual Allocation for Efficient Test-Time Reasoning

    Aug 28, 2026Ziming Wang, Ivor Tsang, Hangwei QianAdaptive InferenceEfficient Language Model Reasoning

  22. ROI-Gated SAHI: Content-Adaptive Slicing-Based Inference for Efficient Object Detection

    Aug 25, 2026Rashid Riyadh, Abd Ullah Khan, Imad Gohar +1Object DetectionEfficient Inference

  23. MM-BEV: Enhancing Timeliness by Computing Where and When it Matters

    Aug 15, 2026Liangkai Liu, Kang G. ShinAutonomous Driving PerceptionAdaptive Inference

  24. SCOPE: Score-Isolated Agentic Optimization for Video World Models

    Aug 15, 2026Yuhua Jiang, Jiaming Wang, Qingbin Liu +1Adaptive InferenceVideo World Models

  25. Neural Introspection Gating for Adaptive KV-Cache Reuse in Vision-Language-Action Models

    Aug 11, 2026Zhijie Wu, Kento Kawaharazuka, Kei OkadaAdaptive InferenceKV Caching

  26. Interoceptive Attention as Dynamic Homeostatic Prioritization in a Foraging Agent

    Aug 4, 2026St John Grimbly, Nicolas Kuske, Evert A. Boonstra +7Adaptive InferenceActive Inference

  27. TrimMoE A communication aware and adaptive depth framework for distributed edge inference

    Aug 1, 2026Ning Li, Shuting Bai, Xin Yuan +3Adaptive InferenceEdge Inference