Prépublication
· 2026 arXiv
EN
Agentic artificial intelligence (AI) systems hold immense potential for automating complex workflows in materials discovery and design, but extending them to domain-intensive mechanistic investigations remains challenging. Here, we present GBClaw, an agentic A...
Yazhuo Liu, Kunqing Ding et al.
#cond-mat.mtrl-sci
Prépublication
· 2026 arXiv
EN
Motivated by the human ability to integrate experience across language, perception, and action, we introduce UniWALM, a unified world-action-language model that learns video, action, and language in a single shared representation, where each modality is both a...
Rahul Sajnani, Diego Romeres et al.
#cs.RO
Prépublication
· 2026 arXiv
EN
Warehouse robot fleets continuously observe operational conditions, but preserving these observations as reusable semantic memory incurs substantial computation, communication, and storage costs. For example, explaining recurring aisle blockages can require re...
Jad Yammine, Malek Wahidi et al.
#cs.RO
Prépublication
· 2026 arXiv
EN
Spatial intelligence has recently been assessed through generative tasks such as spatially grounded image editing, yet language-guided generation of spatially consistent views from partial multi-view observations remains underexplored. We introduce MindView, a...
Yanbo Wang, Siqi Luo et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Multi-token prediction (MTP) can accelerate language-model decoding by drafting several tokens and verifying them in a single target-model pass. However, the best speculation horizon changes with context: longer drafts offer greater amortization when reliable,...
Emile Anand, Mohammed Rehan Parwani et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Picture-description dementia classification uses a shared visual scene, but a transcript-level prediction alone does not identify the scene evidence underlying its inputs. NarraSpace links words and speech times to named picture elements and retrieves utteranc...
Qingming Li, Ruiyan Sun et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Modern distributed microservice deployments generate massive volumes of heterogeneous, multi-format observability logs across physically and logically partitioned infrastructure. Isolating root causes during cascading failures remains an arduous task for Site...
Jitendra Solanki, Anand Todkar et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Mathematical reasoning remains underexplored for low-resource languages, including Dialectal Arabic. To bridge this gap, we introduce the DAR-MGSM (Dialectal Arabic Multilingual Grade School Math) Benchmark, the first manually curated benchmark for evaluating...
Noor Abo Mokh, Teresa Lynn et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Current evaluation of LLM-generated debate largely focuses on argumentative quality, leaving the value structure of generated arguments underexamined. We introduce a diagnostic metric framework for comparing how values are expressed and organized in human-refe...
Maoyuan Li, Haoyuan Li et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
TS2Vec is one of the strongest self-supervised methods for time series classification, introduced in 2022. It is designed to be trained anew on every dataset: self-supervised pre-training followed by linear probing. Since then, the field has shifted towards fo...
Vasilii Feofanov, Zhenghan Tai et al.
#cs.LG
Prépublication
· 2026 arXiv
EN
Computer-use agents are limited by the interfaces humans give them. An agent may type a spreadsheet cell by cell when a single line of code would do, or print all two thousand lines of a file through a shell to find one function. Both the interfaces and the kn...
Saaket Agashe, Yuzhe Yang et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
RTL repair benchmarks should measure whether a model can fix broken RTL given a specification. To this end, we construct and hash-bind RTLRepairDataset, 5,784 (broken, fixed) training pairs; RTLRepairBench, 459 held-out cases with 374 syntactic and 85 behavior...
Yeyin Eva Zhu, Rishabh Ranawat
#cs.AI