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Knowledge catalogue

Search: “evaluation”

41,177 results

Agents

AutoKD: Autonomous Knowledge Discovery

DGX agent

arXiv:2609.06366v1 Announce Type: new Abstract: Scientific discovery in data-rich domains is currently constrained by human bandwidth: the growth in the volume and complexity of real-world data far ou

agentsarxiv-cs-ai

10 Sept 2026

Model Releases

AVSRBench: A Multi-Condition AVSR Benchmark

DGX agent

arXiv:2609.10366v1 Announce Type: cross Abstract: While AVSR has achieved sub-1% word error rates on the standard LRS3 benchmark, its reliance on broadcast speech obscures whether this reflects true g

Search: “evaluation”

AutoKD: Autonomous Knowledge Discovery

AVSRBench: A Multi-Condition AVSR Benchmark

Benchmarking Hybrid Deep Research Across Database Querying and Web Search

Better Together: Complementary Query Rewriting Under a Strong RAG Baseline

Beyond Coherence: Benchmarking Professional Editing-Technique Execution in Multi-Shot Audio-Video Generation

Beyond Cross-Lingual Transfer: Benchmarking Propagation Boundaries in Multilingual LLM Unlearning

BTBR: A Bayesian-Theory-Driven Probabilistic-Fuzzy Framework for Implicit Bias Removal in Large Language Models

Building the Harness Automatically: Self-Play in Code Distills a Text Harness for Black-Box Optimization

Building Trustworthy Graph-Agentic RAG for Social Good: Architectures, Failure Propagation, and Assurance by Construction

Can Artificial Intelligence Support Healthcare and Mental Health Through Early Cyberbullying Detection ? The Impact of Emotion-Aware AI on Proactive Online Safety

Compiling VGDL into Causal Models

Cost-Aware Post-Hoc Deferral Under Calibration and Shift: An Environmental AI Case Study

Cross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp Segmentation

Data-Centric Post-Training for Financial Reasoning: Mining, Distillation, and Verifiable Learning

Deep and shallow biases in language models

Distillation of Synthetic Data for Time Series Foundation Models

Do LLMs Make More Mistakes If They Do Not Believe the Input Data?

EFQ-Softmax: Exp-Free Quantization for Softmax

EnvCraft: Synthesizing Executable Environments in Agentic RL for Claw-like Agent

Evidential-Based Higher-Order Set Argumentation Framework

EvolveScaler: Synthesizing Information-Evolution Contexts via Executable State Machines and Natural-Language Rendering

Experimental Analysis of Productive Interaction Strategy with ChatGPT: User Study on Function and Project-level Code Generation Tasks

Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs

Freezing of Gait Prediction Under Spatial Occlusion: An IMU-Supervised Cross-Modal Distillation Approach

From Few-Shot Segmentation to Clinician-in-the-Loop Medical Image Analysis

From Symbolic Perception to Logical Deduction: A Framework for Guiding Language Models in Geometric Reasoning

From the Fluency Fallacy to the Micro-to-Macro Validity Gap: Opportunities and Pitfalls of LLMs in Social Simulation

Geometry Conditioning in an Embodied SLM: Training Controls and Robustness Diagnostics in a 0.8B Hybrid Model

HyperTrace: Hypothesis-Based Preference Tracing for Online LLM Personalization

IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier

In Medical Claims Data, Enhancing Predictive Performance for Major Adverse Cardiovascular Events Using Cross Attention

Inference-Time Graph Engineering for Multi-Agent LLM Workflows

Inferring the Unspoken: Aligning Embodied Agents with Implicit Preferences

Infra-Bench CLS: A Global, Open-Source Benchmark for Critical Infrastructure Classification with Earth Observation Foundation Models

Intent Drift at SME Scale: Deployment Practice, Not Model Capability, Determines Agentic Compliance

Layerwise Tunable Lifting Scheme for the Convolutional Neural Network

LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation

Less Is Personal: Learning Minimal Sufficient User Profiles for Personalized Language Models

MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation

Maverick: Private and Verifiable LLM Inference Made Practical via Matrix-Vector Multiplication Delegation

MeClear: Cooperative Game-Theoretic Attribution and Risk-Aware Memory Clearance for Long-Horizon LLM Agents

MOSAIC: A Universal Agent-Level Interface for Cross-Paradigm Agent Mixing and Human-AI Collaboration

Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking

NEXUS-MI: Communication-Aware Federated Personalization for Gateway-Coordinated Motor-Imagery Brain-Computer Interfaces

Noesis: Deterministic-First Retrieval with Two-Tier Context Hydration for Factuality-Critical Queries on Small Local Models

On Scaling Coordinate-Based Neuroevolution: The Quadtree Bottleneck in ES-HyperNEAT

OpenResearcher: a reproducible and scalable pipeline for training deep research agents

PAGR: Proof-Carrying Algebraic-Geometric Retrieval: A Quiver-, Provenance-, and Sheaf-Theoretic Framework for Grounded LLM Retrieval