AI & Machine Learning · Computer Science & AI
Artificial Intelligence
The newest papers in Artificial Intelligence that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
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 57
Operon-S1: a fast decision controller for long-horizon biomedical agents
Language-model agents now carry out long scientific work in biology, but their judgements about conventions, skills, errors, evidence and stopping are made inside the reasoning that does the work…Do Transaction Prices Reflect Visual Preference? A Diagnostic Study with Multimodal Language Models
Existing visual preference evaluation relies on costly human annotations or preference reward models, whereas online marketplace transaction prices are readily available and reflect real purchasing…LEAP: Efficient LLM Inference Scheduling with Generalizable Length Prediction
Length-aware scheduling reduces request latency in LLM serving by prioritizing shorter requests.RECITE: Revising Eligibility Criteria Incorporating Textual Evidence
Overly restrictive eligibility criteria contribute to widespread enrollment failure in clinical trials, yet published recommendations for how specific criteria should be broadened remain…From the Zoo to the BULLPEN: Sample-Efficient LLM Profiling via Multi-Channel Model Embeddings
Choosing among the hundreds of thousands of available large language models (LLMs) requires a thorough understanding of each candidate model's properties.Ask on Demand: Targeted Peer Communication for Parallel Agentic Systems
Parallel LLM agents tackle complex tasks by exploring multiple trajectories, yet useful discoveries remain isolated in individual execution histories.Pinching Antennas for ISAC: Waveguide Architectures, Solutions, and Future Directions
Integrated sensing and communication (ISAC) is a core design principle for sixth-generation (6G) wireless systems, yet fixed antenna geometry limits its performance.Biologically Inspired Predictive Gating Signed-Dyadic Coding for Mandarin Keyword Spotting
In continuous spiking keyword spotting, temporally correlated acoustic frames can repeatedly trigger memory access and neural computation at a dense input interface, even when hidden activity is…Online Evidence-Containment Prediction over Text Spans under Distinct Queries
Evidence-grounded NLP systems often verify nested text regions sequentially, so verifying one region constrains others.ProSearch: Benchmarking Multi-Constraint Protocol Retrieval in Experimental Science
In AI for Science scenarios, experimental design and method reproduction require retrieving protocols that satisfy multiple interdependent constraints, yet existing benchmarks lack systematic…Cross-Interface Authorization for AI Computer-Use Agents
Computer-use agents act through graphical interfaces, command lines, APIs, scripts, and Model Context Protocol servers.Distilling Knowledge from Search: Decoder Model Factory for Quantum LDPC Codes
We introduce GraphMP, a learning-based message-passing decoder for quantum low-density parity-check codes that transfers without fine-tuning across code families, code sizes, physical error rates…scAnyOmics: Foundation-Model Distillation for Any-to-Any Completion of Multi-omics Virtual Cells
Recent advances in single-cell technologies have enabled the profiling of multiple molecular modalities, including transcriptomics, proteomics, and chromatin accessibility, providing a more…When Safety Checks Become Privacy Risks: A Privacy-Preserving Paradigm for LLM Agent Safety Auditing
Large language model agents interact with online services through tool calls that may access private data or perform sensitive actions.CryoAtlas: A Large Curated Dataset and Unified Benchmark for Cryo-EM Atomic Model Building
Deep learning has accelerated automated atomic model building from cryo-EM maps, yet progress remains limited by the lack of large, high-quality datasets and standardized evaluation benchmarks.SparseGDN: Chunk Sparse in Linear Attention
Gated Delta Networks (GDNs) offer linear-time sequence modeling, yet long-context prefill remains costly due to dense intra-chunk computation, recurrent-state updates, and intermediate state storage.BlindToChange: AI Agents Can Find Changes When Asked But Do They Look When Needed?
Given that AI agents can search the web broadly and deeply in real time, it is tempting to conclude that their outputs account for recent world events.From Representation to Readout: Mechanistic Analysis of Membership Signals in Language Models
Membership inference aims to determine whether a particular example was included in a model's training data.Evidence-Guided Recovery for AI Agents with Ambiguous Tool Outcomes and Partial Execution
Tool timeouts can leave AI agents facing ambiguous tool outcomes and partial execution: an action may have failed, committed or remained in flight while other workflow steps have already completed.EvoMCP: Co-evolving MCP agents and training data
Supervised fine-tuning of Model Context Protocol (MCP) agents is typically conducted on a static data distribution, which fails to adapt to the student's evolving capabilities and leaves newly…