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arXiv:2512.23189v2 Announce Type: replace Abstract: The semiconductor industry faces a critical "Productivity Gap" where design complexity outpaces human capacity. While the "AI for EDA" revolution...
arXiv:2601.00181v2 Announce Type: replace Abstract: Despite strong recent progress in Emotion Recognition in Conversation (ERC), two gaps remain: we lack clear understanding of which modeling...
arXiv:2601.00781v2 Announce Type: replace Abstract: Learning models with categorical variables requires optimizing expectations over discrete distributions, a setting in which stochastic gradient-based optimization is challenging...
arXiv:2601.01829v2 Announce Type: replace Abstract: Predicting the evolution of complex physical systems remains a central problem in science and engineering. Despite rapid progress in scientific...
arXiv:2601.02380v2 Announce Type: replace Abstract: Recent reports claim that Large Language Models (LLMs) have achieved the ability to derive new science and exhibit human-level general...
arXiv:2601.02537v4 Announce Type: replace Abstract: Oblivious load-balancing in networks involves routing traffic from sources to destinations using predetermined routes independent of the traffic, so that...
arXiv:2601.02563v3 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated exceptional code generation capabilities, yet their token-level mechanisms remain underexplored, particularly in compressed models....
arXiv:2601.02955v3 Announce Type: replace Abstract: The industrial recommender systems always pursue more than one business goals. The inherent intensions between objectives pose significant challenges for...
arXiv:2601.03322v2 Announce Type: replace Abstract: Electroencephalography (EEG)-based brain-computer interfaces facilitate direct communication with a computer, enabling promising applications in human-computer interactions. However, their utility is...
arXiv:2601.03510v2 Announce Type: replace Abstract: Semantic segmentation on point clouds is critical for 3D scene understanding. However, sparse and irregular point distributions provide limited appearance...
arXiv:2601.03853v2 Announce Type: replace Abstract: In Bayesian single-item auctions, a monotone bidding strategy--one that prescribes a higher bid for a higher value type--can be equivalently...
arXiv:2601.03997v3 Announce Type: replace Abstract: Municipal meeting minutes record key decisions in local democratic processes. Unlike parliamentary proceedings, which typically adhere to standardized formats, they...
arXiv:2601.04093v2 Announce Type: replace Abstract: Recently, people have suffered from LLM hallucination and have become increasingly aware of the reliability gap of LLMs in open...
arXiv:2601.04413v2 Announce Type: replace Abstract: Machine unlearning aims to remove the influence of specific training data from a learned model without full retraining. While recent...
arXiv:2601.04510v2 Announce Type: replace Abstract: Phase-field simulations of liquid metal dealloying (LMD) can capture complex microstructural evolutions but can be prohibitively expensive for large domains...
arXiv:2601.04756v2 Announce Type: replace Abstract: A connectivity function on a finite set $V$ is a symmetric submodular function $f \colon 2^V \to \mathbb{Z}$ with $f(\emptyset)=0$....
arXiv:2601.05047v3 Announce Type: replace Abstract: Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally...
arXiv:2601.05106v2 Announce Type: replace Abstract: Large language models (LLMs) exhibit strengths across diverse domains. However, achieving strong performance across these domains with a single general-purpose...
arXiv:2601.05765v2 Announce Type: replace Abstract: We propose unified data structures and algorithms for free-surface fluid simulations based on partial optimal transport, such as the Power...
arXiv:2601.05814v2 Announce Type: replace Abstract: Accurate classification of sleep disorders, particularly insomnia and sleep apnea, is important for reducing long term health risks and improving...
arXiv:2601.06133v2 Announce Type: replace Abstract: Diffusion policies have emerged as a powerful approach for robotic control, demonstrating superior expressiveness in modeling multimodal action distributions compared...
arXiv:2601.06641v2 Announce Type: replace Abstract: Membership inference attack (MIA) poses a significant privacy threat in federated learning (FL) as it allows adversaries to determine whether...
arXiv:2601.07093v3 Announce Type: replace Abstract: Low-dose Positron Emission Tomography (PET) imaging reduces patient radiation exposure but suffers from increased noise that degrades image quality and...
arXiv:2601.07220v2 Announce Type: replace Abstract: Multilingual language models (LMs) promise broader NLP access, yet current systems deliver uneven performance across the world's languages. This survey...