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Knowledge catalogue

Search: “reasoning”

19,026 results

Research

Can machines think efficiently?

DGX agent

arXiv:2510.26954v3 Announce Type: replace-cross Abstract: The Turing Test is no longer adequate for distinguishing human and machine intelligence. With advanced artificial intelligence systems already

researcharxiv-cs-ai

2 Sept 2026

Applications

Search: “reasoning”

Can machines think efficiently?

Cleaner Speech, Weaker Generalization: Revisiting Pitt-Derived Benchmarks for Alzheimer's Disease Detection

Commit-first LLM judging inherits the judge's own errors

Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and Challenges

Does This Moment Justify the Recommendation? Counterfactual Behavior-Grounded Evidence Retrieval for Personalized Video Recommendation

EEG-VID: Task-Guided Latent Predictive Pretraining for EEG Decoding and Assistive Target Selection

Enoki: Efficient Multi-Level Hallucination Detection

Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and Searching

Evaluating Second-Order Bias of LLMs Through Epistemic Entitlement

ExBind: A Controlled Diagnostic Benchmark for Visual-to-Executable Correspondence

From Production Traffic to Post-Training: Building a Self-Hosted LLM That Covers the Corporate Request Mix

From Terminology to Diagrams: Visual-Instruction Generation for Scientific Diagram Understanding

From Truncation to Commitment: Persistent Context in Uniform Discrete Diffusion

GeoGR^2:Zero-Shot Geospatial Inference via Geostatistically-Guided Iterative Refinement with LLMs

Good Memory Has ECC: Evaluating the Memory of Vision-Language Models Beyond Accuracy

HarnessEvolve: Learning from Reference Trajectories for Reliable Agent Self-Evolution

Inspicio: Open-Vocabulary, LLM-Based Sense Retrieval for Historical Languages

ISO-RAG: Isoperimetric Noise Control for Retrieval-Augmented Generation

It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning

Medical Causal Hypothesis Verification with Large Language Models

MIDR: Enrichment-Augmented Indexing for Multimodal Document Retrieval

MiNER: Fine-Tuned Biomedical Natural Language Processing for Malaria Disease Entity Recognition in Clinical Texts

MutMem-V2: Cryptographically Authorized Mutation in Persistent Agent Memory Portable Verification and Reproducible Evidence

Neurosymbolics for Data Engineering: Achieving Long Context Token Reduction Without Finetuning

On Synthesis of Metric Interval Temporal Logics

On the Design Fundamentals of Pixel Text Representation Learning

One Policy, Any Budget: Internalizing Budget-Aware Search via Reinforcement Learning

Online Self-Weighted Fine-Tuning

PredErase: Training-Free Object-and-Effect Removal with Predictive Latent Guidance

Revealing Multi-View Hallucination in Large Vision-Language Models

Runtime-Independent Persistent Agents: Preserving Identity, Memory, and Code Across Models, Harnesses, and Servers

Same Semantics, Different Outcome: On the Modality Robustness of Multimodal LLMs under Knowledge Conflict

Selective Agent Guidance via Entropy: Learning Autonomous Policies from Imperfect VLM Teachers

Separating Syntax from Language: A Mechanistic Account of Translation in Multilingual LLMs

SOVER: Formal Certification of Optimization Reformulations via LLM-Assisted SMT Verification

Staged Linguistic Seeding: Grounded Query Expansion for Verified-Unit QA in AI Contact Centers

Subliminal Learning as Trait-Direction Drift: A Mechanism and Targeted Control under SFT Distillation

Towards Effective Structured Context Modeling for Conversational Recommender Systems via Dual-node Monte Carlo Tree Search

VectorGym: A Multi-Task Benchmark for SVG Code Generation, Sketching and Editing

Visual Framing for News Stance Detection via Image Generation

(V)LMs generalize beyond surface co-occurrence: Evidence from cross-modal number agreement

When Tokenization is Secretly Output Supervision

Where Should Experience Live? Hierarchical Hebbian Memory for Continual Vision Transformers

A collective capability boundary in frontier large language models on guideline-conformant and case-specific oncology decision-making

APT: Anchor-aligned Perturbations for Tamper Localization in Fully Regenerated Images

Are LLMs Ready to Assist Physicians? PhysAssistBench for Interactive Doctor-Patient-EHR Assistance

Argument-Aware Semantic Alignment of Normative Texts: A Toulmin-Based Neuro-Symbolic Approach

Arkios: An Open Bilingual English-Nepali Language Model Trained From Scratch, with a Devanagari-Aware Tokenizer