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RecurTrace introduces loop-time memory and adaptive halting to improve latent reasoning in language models, achieving higher accuracy on MathQA with optimized compute compared to fixed-loop methods.
This paper introduces CreaEval, an automated creativity evaluator for complex multi-step tasks that decouples analysis and judging to reduce biases and improve evaluation reliability, demonstrating a 22.74% average performance improvement over baselines.
PriorEye introduces geospatial visual priors for end-to-end autonomous driving, enhancing anticipatory behavior and robustness through a dual-memory architecture, as presented at ECCV 2026.
This paper introduces memory-augmented speculative execution for LLM agents, using three online memory systems to improve prediction accuracy by 19-39% on action prediction and up to 2.5x on observation prediction, all while being lossless with zero added wall-clock cost.
TF-Engram introduces a train-free system that stores phrase-level semantic memory on a GPU-DRAM-SSD hierarchy for LLMs, using predictive prefetching to hide latency, and demonstrates improved downstream performance on Qwen3-0.6B.
This paper introduces MA-DLE, a memory-based feature augmentation method for speech-based automatic depression level estimation, achieving state-of-the-art performance on the DAIC-WOZ and E-DAIC datasets.
Introduces MPT benchmark and PRefine method for cross-session personalized tool calling that captures user choice reasoning with minimal token overhead.