arXiv:2603.15475v1 Announce Type: cross Abstract: Cross-domain panoramic semantic segmentation has attracted growing interest as it enables comprehensive 360{\deg} scene understanding for real-world applications. However, it remains particularly challenging due to severe geometric Field of View (FoV) distortions and inconsistent open-set semantics across domains. In this work, we formulate an open-set domain adaptation setting, and propose Extrapolative Domain Adaptive Panoramic Segmentation …
Read More »Fashion
The Disentangled Geometry of Safety Mechanisms in Large Language Models
[Submitted on 6 Mar 2026 (v1), last revised 13 Mar 2026 (this version, v2)] View a PDF of the paper titled Knowing without Acting: The Disentangled Geometry of Safety Mechanisms in Large Language Models, by Jinman Wu and 4 other authors View PDF HTML (experimental) Abstract:Safety alignment is often conceptualized as a monolithic process wherein harmfulness detection automatically triggers refusal. …
Read More »The 2026 Data Mandate: Is Your Governance Architecture a Fortress or a Liability?
of data governance Data governance is the structured, ongoing process of managing an organization’s data to ensure its availability, usability, integrity, and security. It involves setting up a framework of roles, policies, standards, and metrics that control how data is created, used, stored, and protected throughout its lifecycle. Foundations of Data Governance, generated by Napkin AI Data governance emerged as a …
Read More »The Multi-Agent Trap | Towards Data Science
has handled 2.3 million customer conversations in a single month. That’s the workload of 700 full-time human agents. Resolution time dropped from 11 minutes to under 2. Repeat inquiries fell 25%. Customer satisfaction scores climbed 47%. Cost per service transaction: $0.32 down to $0.19. Total savings through late 2025: roughly $60 million. The system runs on a multi-agent architecture built with LangGraph. …
Read More »[2602.14677] Kernel-based optimization of measurement operators for quantum reservoir computers
[Submitted on 16 Feb 2026 (v1), last revised 11 Mar 2026 (this version, v2)] View a PDF of the paper titled Kernel-based optimization of measurement operators for quantum reservoir computers, by Markus Gross and 1 other authors View PDF HTML (experimental) Abstract:Finding optimal measurement operators is crucial for the performance of quantum reservoir computers (QRCs), since they employ a fixed …
Read More »Disjunctive Branch-and-Bound for Certifiably Optimal Low-Rank Matrix Completion
arXiv:2305.12292v4 Announce Type: replace-cross Abstract: Low-rank matrix completion consists of computing a matrix of minimal complexity that recovers a given set of observations as accurately as possible. Unfortunately, existing methods for matrix completion are heuristics that, while highly scalable and often identifying high-quality solutions, do not provide an instance-wise certificate of optimality. We reexamine matrix completion with an optimality-oriented eye. …
Read More »Supervised Contrastive Learning for Low-Resource Language Identification
[Submitted on 18 Jun 2025 (v1), last revised 9 Mar 2026 (this version, v2)] View a PDF of the paper titled ConLID: Supervised Contrastive Learning for Low-Resource Language Identification, by Negar Foroutan and 3 other authors View PDF HTML (experimental) Abstract:Language identification (LID) is a critical step in curating multilingual LLM pretraining corpora from web crawls. While many studies on …
Read More »Sparse Isotonic Shapley Regression toward Nonlinear Explainability
[Submitted on 2 Dec 2025 (v1), last revised 8 Mar 2026 (this version, v2)] View a PDF of the paper titled Beyond Additivity: Sparse Isotonic Shapley Regression toward Nonlinear Explainability, by Jialai She View PDF HTML (experimental) Abstract:Shapley values, a gold standard for feature attribution in Explainable AI, face two key challenges. First, the canonical Shapley framework assumes that the …
Read More »Three OpenClaw Mistakes to Avoid and How to Fix Them
tool built upon coding agents such as Claude Code. It allows you to have a coding agent running 24×7, working proactively and reactively to solve tasks. I’ve set up multiple OpenClaw instances already and have learned a fair few things through active usage. I’ve also discussed it a lot with colleagues who work with OpenClaw agents on a daily basis, …
Read More »Write C Code Without Learning C: The Magic of PythoC
an interesting library the other day that I hadn’t heard of before. PythoC is a Domain-Specific Language (DSL) compiler that allows developers to write C programs using standard Python syntax. It takes a statically-typed subset of Python code and compiles it directly down to native machine code via LLVM IR (Low Level Virtual Machine Intermediate Representation). LLVM IR is a …
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