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Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 64
A Compact Formula-Aware Spreadsheet Abstraction for Large Language Models
Large language models (LLMs) are increasingly used to assist spreadsheet users with tasks such as spreadsheet model construction, formula generation, and data analysis, yet their interaction with…When the Same Prompt Gives Different Answers (and the Same Answer Isn't Always Right): A Taxonomy of Failure Mechanisms, Testing, and Mitigation Strategies for LLM-Assisted Evidence Synthesis Read-and-Evaluate Tasks
LLM read-and-evaluate tasks include study screening, data extraction, risk-of-bias assessment, and critical appraisal in the evidence synthesis field.Certified Access: Test-Time Compute on Conservative Physics-Structured AI Memory
Test-time compute mechanisms, such as retries, confidence-based escalation and non-local routing, are conventionally deployed as black-box additions to trained models.HERA: Assessing an Autonomous Agent for Quantum Device Measurement
Large language model agents have begun to carry out laboratory measurements, but their scientific conclusions are useful only if they hold up under scrutiny.Tactus: Tactile & Pose Sensing Glove for Natural Dexterity Data Collection
Collecting naturalistic human manipulation demonstrations with accurate contact force and hand pose is essential for robot dexterous manipulation policy and foundational world model learning - yet…Generating Critic-Guided Synthetic Experience in Latent World Models
Learning from offline datasets is limited in scalability, as collecting new experience is often costly or unsafe in the real world.PCM: A Proof-Carrying Message Protocol for Verifiable Multi-Agent Communication
When one AI agent tells another that "the tests passed" or "a person approved this refund", the receiver has only the sender's word.From Local Recovery to Unified Generation: Discovering Triple Set in Knowledge Graphs via Observation-Anchored Latent Diffusion
Triple set prediction (TSP) is to recover missing relational triples in a knowledge graph by predicting the triple set instead of isolated links.Appreciation Teaches Unauthorized Execution: Self-Evolution Degrades the Robustness of Personal Agents to Indirect Prompt Injection
Self-evolving personal agents act for users and learn from user feedback.Clean Sheets and Checkpoints: Evidence Complexity for Certifying Sequential Agent Risk
Dangerous-capability evaluations often test an AI agent from prepared states at ordered milestones.REALM: Identifying Minimal Task Assets for LLM Agents
Large language model (LLM) agents often receive access to more files, accounts, and services than a task requires.PRISM: Personalized Item Representations in User History
Sequential recommenders typically construct history inputs from item identifiers or content features using an embedding map shared across users.EmbodiExp: Compositional Experience Transfer for Embodied Agents
Experience can help embodied agents turn high-level plans into grounded actions, but transferring it across tasks remains challenging: previously effective strategies may be inapplicable to the…Reasoning or Pattern Exploitation? Mechanistic Insights from RL-Trained Language Models
Large language models (LLMs) are increasingly described as acquiring "reasoning" skills after reinforcement learning with verifiable rewards.Goal-Aware Dynamic Multi-Agent Collaboration for Long-Horizon Tasks
LLM-based agents are increasingly used to complete complex, long-horizon tasks without human intervention.Where Position Matters: Profiling-Guided Layer-Wise RoPE Allocation in Transformers
Rotary Position Embedding (RoPE) typically uses uniform coverage across Transformer layers despite heterogeneous positional requirements.Beyond LLM Wrappers: Context Engineering and the Three-Engine Architecture for Reliable Financial AI
Financial AI systems must support decision-bearing questions involving payments, collections, cash flow, and compliance while ensuring numerical accuracy, traceability, and auditability.SocialArena: Evaluating Social Intelligence in Large Language Models
We introduce SocialArena, a benchmark for systematically defining and evaluating the social intelligence of large language models (LLMs).Where to Learn and How Far to Roll Out: Efficient Adaptive Training for GUI Agents
Trajectory-level GRPO is a common approach for training multi-step GUI agents, but repeatedly rolling out complete trajectories from the task root can be inefficient: task-level rewards provide…Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live IOS Apps
While frontier vision-language models demonstrate strong capabilities in user interface (UI) navigation, their high inference costs prohibit everyday use.