arXiv:2606.04845v1 Announce Type: cross
Abstract: Sequential decision-making problems are often modelled as a Markov decision process (MDP). We focus on the stochastic shortest path (SSP) problem,…
arXiv:2408.01382v3 Announce Type: replace
Abstract: Originating in game theory, Shapley values are widely used for explaining a machine learning model’s prediction by quantifying the contribution of…
arXiv:2605.29076v2 Announce Type: replace-cross
Abstract: LLMs have advanced text classification, yet existing paradigms face a trade-off: supervised (label only) fine-tuning is scalable but offers…
arXiv:2606.03645v1 Announce Type: cross
Abstract: Large Language Models exhibit paradoxical fragility in fundamental arithmetic, implying a disconnect between internal computation and discrete…
arXiv:2605.18740v4 Announce Type: replace-cross
Abstract: Multimodal Large Language Models (MLLMs) still struggle with fine-grained visual understanding, where answers often depend on small but…
arXiv:2606.03523v1 Announce Type: cross
Abstract: Early attribution of Advanced Persistent Threat (APT) activity can help defenders prioritise investigation, select countermeasures, and reduce the…
arXiv:2606.03919v1 Announce Type: cross
Abstract: Understanding and anticipating scientific change requires models that distinguish between endogenous consolidation and exogenous diffusion of…
arXiv:2606.03344v1 Announce Type: cross
Abstract: Model merging composes specialized capabilities into a single LLM by aggregating task vectors sourced from unverified public platforms, exposing a…
arXiv:2606.03736v1 Announce Type: cross
Abstract: Resource-constrained pricing controllers can make fixed-price inference impossible: the controller’s resource state may remove the target price…