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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 111
One Mean Log-Mel Vector per Phoneme: Simple and Fast Text Injection for Speech Recognition
Text injection trains speech recognition models on unpaired text alongside paired audio.Entity Matching using Decision Models
Entity matching is the task of deciding whether two records describe the same real-world entity.RIDE-Splat: Reflection Removal for In-the-Wild Driving Environments
Driving video captured through a windshield violates the world-space consistency assumed by 3D Gaussian Splatting (3DGS): the road scene exhibits parallax while cabin reflections remain attached to…CodeMeepo: A Multi-Agent Workflow for Repository-Level Code Migration and Optimization
Repository-level code migration rewrites an entire project in a new programming language while preserving its observable behavior.AgentProofBench: Benchmarking Reusable Verifiers for Web Agents
Reusable Web-agent verification requires a rule to follow changing requirements and support subsequent execution.Intrinsic Goals for Autonomous Agents: Hierarchical Exploration Captures Future Volitional Action in Drosophila
Animals have a remarkable capacity for autonomy---driven by intrinsic motivation---without external sensory cues or extrinsic objectives, yet the computational mechanisms behind this ability largely…InferPriv: Evaluating Inferential Privacy Leakage in LLM Assistants
Large language model (LLM)-based personal agents are increasingly deployed to handle everyday tasks on users' behalf.ResCom: Activation Residual Compensation for Large Language Model Quantization
Low-bit weight--activation quantization reduces the memory and computation needed to deploy large language models, but activation rounding can still degrade accuracy after calibration.Structured Time-Frequency Representation for Channel Prediction
Accurate CSI forecasting is essential for mitigating channel aging and supporting reliable downlink transmission in high-mobility wireless systems.AgentBaton: Efficient Model Collaboration in Agentic Tasks
Solving long-horizon agentic tasks requires language agents to interact with their environments over multiple steps, and reliable performance often comes from the expensive capable models available…A Hyper-Logical View on Multi-Agent Path Planning
Multi-Agent Path Planning (MAPP) requires collision-free paths for multiple agents.EMMA: Structured Episodic Memory for Multi-Agent Workflow Synthesis
Deploying LLM agents in specialized domains often require fine-grained task-specific procedures and knowledge a general model lacks, yet parameter training is costly and non-interpretable, and…The Coordination Tax and the Heterogeneity Dividend: Break-Even Conditions for Multi-Agent LLM Pipelines
Multi-agent LLM pipelines built on interoperability protocols such as the Open Floor Protocol (OFP) or A2A are usually justified on capability grounds, with their runtime cost treated as an overhead…DuQUAD: A Dual-View Framework with Quality-Aware Evidence Pruning for Multi-Document Question Answering
Large language models with retrieval-augmented generation systematically underutilize evidence in the middle of multi-document contexts, a phenomenon known as Lost in the Middle.AgentOrch: How Close Can Global Orchestration Come to Step-by-Step Interaction?
Enterprise workflow agents typically rely on step-by-step interaction (Step-by-Step): the agent executes an action, observes its result, and invokes a large language model (LLM) again to decide the…How To Build A Modern Diffusion Language Model
The frontier of large language model (LLM) performance has advanced rapidly in recent years, fueled by scaling laws for pretraining on large text corpora.Data Optimization for LLMs: A Survey
Large language models (LLMs) have attracted great attention in both academic and industrial communities in recent years.Benchmarking System One Models for Time-Series Decision Making: A Case Study of Jev
Time-series tasks require both accurate predictions and fast decisions.Exact Unlearning After Data Curation
Training pipelines often remove similar examples before fitting a model.ConMem: Counterfactual Multi-Scenario Probing for Resolving LLM Memory Misalignment
Long-term memory is critical for autonomous Large Language Model (LLM) agents executing multi-session, long-horizon tasks.