Enabling robotic agents to perform complex long-horizon tasks has been a long-standing goal in robotics and artificial intelligence (AI). Existing Large Language Models (LLMs)-based symbolic planners auto-generate Planning Domain Definition Language (PDDL) specifications to bridge language and formal reasoning, but the...
Chang-Zhi Wang, Ting-Hao Yi, Zhen-Zhen Huang et al.· IEEE Robotics and Automation...· 0 citations
FIRST PARTIAL RELEASE OF PROJECT FILES 14th September 2026AMOC · SIEVE · MAC · FIELD COMPUTE · SILENT COLLAPSE THE GLOBAL EVIDENCE ENGINE From Silent Collapse to a Living Scientific Base A connected research package for observing, representing, testing, challenging, and reproducing scientific claims about a changing Ea...
Eugenie Evariste MAJ Teller, Janneke Heijssens, Edwin Jean-Paul Vening et al.· Zenodo (CERN European Organi...· 0 citations
Human preferences are often ill-defined and shaped by contextual and situational factors, posing challenges for effective human–robot interaction. Social Assistive Robots can address this by employing adaptive, context-aware persuasive strategies to better elicit user preferences and support healthier behaviors. In thi...
Evaluating three widely used LLMs on 10 undergraduate-level digital logic questions spanning non-standard counters, JK-based state transitions, timing diagrams, frequency division, and finite-state machines suggests that they may be unreliable for core digital logic topics and can inadvertently reinforce misconceptions...
Yogeswar Reddy Thota, Setareh Rafatirad, Homayoun Houman et al.· SN Computer Science· 0 citations
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Purpose: A shared view of artificial intelligence (AI) research in aphasia is needed to locate related work across clinical and computing publications. This scoping review mapped research topics and connections, AI method families over time, and reported evaluation and participant characteristics relevant to clinical a...
Mengyang Qiu, Siena Sun, Sara NassrElgrgawi et al.· 0 citations
Overview We are proud to announce the formal release of Decoupled Topological Coprocessing (DTC v2.0). DTC v2.0 introduces an asynchronous, non-invasive coprocessor architecture that detects and resolves reasoning deadlocks—specifically circular reasoning loops and unanchored extrinsic hallucinations—in Large Reasoning...
Kouta Matsumoto· Zenodo (CERN European Organi...· 0 citations
The complete artifact behind the study of harness-induced bias in tool-use evaluation of open-weight large language models: the benchmark apparatus, the model-agnostic multi-dialect call parser, the scorers, every analysis and figure script, and the raw per-case capture logs. The study follows a run-once, re-parse-many...
Muhammed Emre Çolak· Zenodo (CERN European Organi...· 0 citations
Replication package for two studies of code generated by large language models for customs revenue analytics. Contents: harness/ - corpus generator, execution harness, oracle, prompts and the adjudication ledger. prevalence.db holds 1,600 generations across eight tasks (A to H). Tasks A, B and C comprise 600 generation...
Sushanta Paul· Zenodo (CERN European Organi...· 0 citations
Large language models emit testimony: fluent claims whose warrant lies outside the act of generation. What science fits such output? We argue it is the one philology built for corrupt textual transmission: stemmatics. Not, however, as an identity claim. An earlier draft of this paper made that claim, and four separatel...
Soons Luuk· Zenodo (CERN European Organi...· 0 citations
This record presents the current research program of Structural Intelligence, an independent project by Vladisav Jovanović focused on correction, belief revision, warrant-responsive rationality, large language model evaluation, AI corrigibility, persistent AI memory, and human–AI interaction. The current program develo...
This record provides a multi-label dataset of 100,000 U.S. 2024 election-related X (Twitter) posts, featuring crowdsourced and LLM annotations for harmful-content research (focusing on speculation, sensationalism, conspiracy, hate speech, and satire). Data Access Details: Dehydrated Data: Publicly available at https://...
Qile Wang, Prerana Khatiwada, Carolina Coimbra Vieira et al.· Zenodo (CERN European Organi...· 0 citations
Code and de-identified derived data for the manuscript 'Large language models as reliable graders of clinical competency for digital standardized patients in a multilingual LMIC' (npj Digital Medicine, revised 2026). Version 2.0.0 accompanies the revision and adds the revision's eight-grader panel (gpt-6-astra, gpt-5.6...
Wei Zhang, Benjamin Daniels, Hoang Nguyen et al.· Zenodo (CERN European Organi...· 0 citations
