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…coverage in the GUI domain, we provide natural, annotation-free supervision for the memory module. Empirical evaluations demonstrate that \ours successfully generalizes to unseen environments. Its exploration capability outperforms open-weight baselines…
…We propose to adopt a Reproducing Kernel Particle Method (RKPM) representation, which enables the construction of reduced-order skinning weights by solving a generalized eigensystem on the Hessian matrix of the elastic…
…weight, allergies) to personalize the consultation process. Experimental results demonstrate that the proposed system can effectively perform symptom elicitation through multi-turn dialogue and generate diagnostic recommendations. Get this paper in your…
…No retraining, no fine-tuning, no per-task weights. This is an automated message from the Librarian Bot . I found the following papers similar to this paper. The following papers were recommended…
…It significantly outperforms related methods without changing model weights. This is an automated message from the Librarian Bot . I found the following papers similar to this paper. The following papers were recommended…
…The complete codebase will be open-sourced in a future release. View arXiv page View PDF Add to collection Community https://github.com/Darwin-Agent/HarnessX This is an automated message from…
…If not, the corresponding teacher signal is down-weighted. Teacher-probability scaling then uses the teacher's confidence as a lightweight factor to further calibrate the strength of the gated supervision. A…
…While Low-Rank Adaptation ( LoRA ) introduces additional weights between the LLM layers, Soft Prompting introduces additional fine-tuning-specific raw tokens to an LLM input. However, both require modification to the computational…
…To further address the sparsity of functional tokens during RL, we introduce Latent-Anchored GRPO (LA-GRPO), which stabilizes the training by anchoring functional tokens with a statically weighted auxiliary objective , providing…
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