Natural Language Processing

Text understanding and language tasks

This Week's Best | Monthly Best | Guide | Trending

Top This Week

Machine Learning

[D] Looking for definition of open-world ish learning problem

Hello! Recently I did a project where I initially had around 30 target classes. But at inference, the model had to be able to handle a lo...

Reddit - Machine Learning · 1 min ·
[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation
Llms

[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation

Abstract page for arXiv paper 2603.11687: SemBench: A Universal Semantic Framework for LLM Evaluation

arXiv - AI · 4 min ·
[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization
Llms

[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

Abstract page for arXiv paper 2603.11583: UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

arXiv - AI · 3 min ·

All Content

[2603.24986] Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators
Llms

[2603.24986] Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators

Abstract page for arXiv paper 2603.24986: Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators

arXiv - AI · 3 min ·
[2603.24940] Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system
Llms

[2603.24940] Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system

Abstract page for arXiv paper 2603.24940: Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-i...

arXiv - AI · 4 min ·
[2603.24896] LogSigma at SemEval-2026 Task 3: Uncertainty-Weighted Multitask Learning for Dimensional Aspect-Based Sentiment Analysis
Nlp

[2603.24896] LogSigma at SemEval-2026 Task 3: Uncertainty-Weighted Multitask Learning for Dimensional Aspect-Based Sentiment Analysis

Abstract page for arXiv paper 2603.24896: LogSigma at SemEval-2026 Task 3: Uncertainty-Weighted Multitask Learning for Dimensional Aspect...

arXiv - AI · 3 min ·
[2603.25687] On Neural Scaling Laws for Weather Emulation through Continual Training
Llms

[2603.25687] On Neural Scaling Laws for Weather Emulation through Continual Training

Abstract page for arXiv paper 2603.25687: On Neural Scaling Laws for Weather Emulation through Continual Training

arXiv - Machine Learning · 4 min ·
[2603.24857] AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective
Llms

[2603.24857] AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective

Abstract page for arXiv paper 2603.24857: AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective

arXiv - Machine Learning · 4 min ·
[2603.25562] Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
Llms

[2603.25562] Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

Abstract page for arXiv paper 2603.25562: Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

arXiv - AI · 4 min ·
[2603.25538] Missing-Aware Multimodal Fusion for Unified Microservice Incident Management
Nlp

[2603.25538] Missing-Aware Multimodal Fusion for Unified Microservice Incident Management

Abstract page for arXiv paper 2603.25538: Missing-Aware Multimodal Fusion for Unified Microservice Incident Management

arXiv - Machine Learning · 3 min ·
[2603.25469] Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models
Machine Learning

[2603.25469] Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models

Abstract page for arXiv paper 2603.25469: Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models

arXiv - Machine Learning · 3 min ·
[2603.24772] Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset
Llms

[2603.24772] Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset

Abstract page for arXiv paper 2603.24772: Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Val...

arXiv - Machine Learning · 4 min ·
[2603.24721] Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models
Llms

[2603.24721] Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models

Abstract page for arXiv paper 2603.24721: Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models

arXiv - Machine Learning · 4 min ·
[2603.24692] Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
Machine Learning

[2603.24692] Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses

Abstract page for arXiv paper 2603.24692: Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses

arXiv - AI · 4 min ·
[2603.25186] Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation
Llms

[2603.25186] Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation

Abstract page for arXiv paper 2603.25186: Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserv...

arXiv - Machine Learning · 4 min ·
[2603.25093] Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints
Machine Learning

[2603.25093] Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints

Abstract page for arXiv paper 2603.25093: Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrolog...

arXiv - Machine Learning · 4 min ·
[2603.24599] A Learnable SIM Paradigm: Fundamentals, Training Techniques, and Applications
Machine Learning

[2603.24599] A Learnable SIM Paradigm: Fundamentals, Training Techniques, and Applications

Abstract page for arXiv paper 2603.24599: A Learnable SIM Paradigm: Fundamentals, Training Techniques, and Applications

arXiv - AI · 3 min ·
[2603.24925] GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation
Nlp

[2603.24925] GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation

Abstract page for arXiv paper 2603.24925: GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Gener...

arXiv - Machine Learning · 4 min ·
[2603.25737] Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment
Machine Learning

[2603.25737] Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment

Abstract page for arXiv paper 2603.25737: Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment

arXiv - AI · 3 min ·
[2603.25719] Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?
Machine Learning

[2603.25719] Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?

Abstract page for arXiv paper 2603.25719: Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardw...

arXiv - Machine Learning · 4 min ·
[2603.25498] EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents
Llms

[2603.25498] EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents

Abstract page for arXiv paper 2603.25498: EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents

arXiv - AI · 3 min ·
[2603.24744] Contrastive Learning Boosts Deterministic and Generative Models for Weather Data
Machine Learning

[2603.24744] Contrastive Learning Boosts Deterministic and Generative Models for Weather Data

Abstract page for arXiv paper 2603.24744: Contrastive Learning Boosts Deterministic and Generative Models for Weather Data

arXiv - Machine Learning · 4 min ·
[2603.24639] Experiential Reflective Learning for Self-Improving LLM Agents
Llms

[2603.24639] Experiential Reflective Learning for Self-Improving LLM Agents

Abstract page for arXiv paper 2603.24639: Experiential Reflective Learning for Self-Improving LLM Agents

arXiv - Machine Learning · 3 min ·
Previous Page 3 Next

Related Topics

Machine Learning Large Language Models Generative AI Computer Vision Robotics & Embodied AI AI Safety & Ethics

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Subscribe to Newsletter

Daily or weekly digest • Unsubscribe anytime