Natural Language Processing

Text understanding and language tasks

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

Top This Week

Enabling agent-first process redesign | MIT Technology Review
Nlp

Enabling agent-first process redesign | MIT Technology Review

Unlike static, rules-based systems, AI agents can learn, adapt, and optimize processes dynamically. As they interact with data, systems, ...

MIT Technology Review · 4 min ·
Llms

Stop Overcomplicating AI Workflows. This Is the Simple Framework

I’ve been working on building an agentic AI workflow system for business use cases and one thing became very clear very quickly. This is ...

Reddit - Artificial Intelligence · 1 min ·
Nlp

[D] Is ACL more about the benchmarks now?

I am not a NLP guy, but afaik ACL is one of the premium venues of NLP. And given that the results were announced recently, my LinkedIn an...

Reddit - Machine Learning · 1 min ·

All Content

[2602.13140] FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics
Machine Learning

[2602.13140] FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics

FlashSchNet presents a novel framework for molecular dynamics simulations, enhancing speed and accuracy through innovative techniques in ...

arXiv - Machine Learning · 4 min ·
[2602.13042] GPTZero: Robust Detection of LLM-Generated Texts
Llms

[2602.13042] GPTZero: Robust Detection of LLM-Generated Texts

GPTZero introduces a robust solution for detecting AI-generated texts, addressing concerns over text authenticity and misinformation in t...

arXiv - Machine Learning · 3 min ·
[2602.12982] Multi-Dimensional Visual Data Recovery: Scale-Aware Tensor Modeling and Accelerated Randomized Computation
Machine Learning

[2602.12982] Multi-Dimensional Visual Data Recovery: Scale-Aware Tensor Modeling and Accelerated Randomized Computation

The paper presents a novel approach to multi-dimensional visual data recovery using Scale-Aware Tensor Modeling and accelerated randomize...

arXiv - Machine Learning · 4 min ·
[2602.12756] Closing the Loop: A Control-Theoretic Framework for Provably Stable Time Series Forecasting with LLMs
Llms

[2602.12756] Closing the Loop: A Control-Theoretic Framework for Provably Stable Time Series Forecasting with LLMs

This paper introduces F-LLM, a control-theoretic framework for stable time series forecasting using large language models, addressing iss...

arXiv - Machine Learning · 4 min ·
[2602.12714] ADEPT: RL-Aligned Agentic Decoding of Emotion via Evidence Probing Tools -- From Consensus Learning to Ambiguity-Driven Emotion Reasoning
Llms

[2602.12714] ADEPT: RL-Aligned Agentic Decoding of Emotion via Evidence Probing Tools -- From Consensus Learning to Ambiguity-Driven Emotion Reasoning

The paper introduces ADEPT, a novel framework for emotion recognition that enhances accuracy by integrating acoustic evidence and multi-t...

arXiv - Machine Learning · 4 min ·
[2602.12693] Leverage-Weighted Conformal Prediction
Machine Learning

[2602.12693] Leverage-Weighted Conformal Prediction

The paper introduces Leverage-Weighted Conformal Prediction (LWCP), a method that enhances prediction intervals by adapting to variance w...

arXiv - Machine Learning · 3 min ·
[2602.12567] Fractional Order Federated Learning for Battery Electric Vehicle Energy Consumption Modeling
Machine Learning

[2602.12567] Fractional Order Federated Learning for Battery Electric Vehicle Energy Consumption Modeling

This article presents a novel approach to federated learning for Battery Electric Vehicles (BEVs) using Fractional-Order Roughness-Inform...

arXiv - Machine Learning · 3 min ·
[2602.12533] AMPS: Adaptive Modality Preference Steering via Functional Entropy
Llms

[2602.12533] AMPS: Adaptive Modality Preference Steering via Functional Entropy

The paper presents AMPS, a method for Adaptive Modality Preference Steering in Multimodal Large Language Models (MLLMs), addressing the c...

arXiv - Machine Learning · 4 min ·
[2602.12529] Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models
Machine Learning

[2602.12529] Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models

Flow-Factory presents a unified framework for reinforcement learning in flow-matching models, addressing fragmentation and complexity in ...

arXiv - Machine Learning · 3 min ·
[2602.12520] Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
Machine Learning

[2602.12520] Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings

This paper presents a novel framework for multi-agent model-based reinforcement learning, integrating joint state-action representation l...

arXiv - Machine Learning · 3 min ·
[2602.12468] Continuous Diffusion Models Can Obey Formal Syntax
Llms

[2602.12468] Continuous Diffusion Models Can Obey Formal Syntax

The paper introduces a method for guiding continuous diffusion models to adhere to formal syntactic constraints, achieving high constrain...

arXiv - Machine Learning · 3 min ·
[2602.11287] HiFloat4 Format for Language Model Inference
Llms

[2602.11287] HiFloat4 Format for Language Model Inference

The paper introduces HiFloat4, a block floating-point format designed for deep learning, enhancing efficiency in language model inference...

arXiv - Machine Learning · 3 min ·
[2602.10388] Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs
Llms

[2602.10388] Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs

The paper introduces a novel metric, Feature Activation Coverage (FAC), to measure data diversity in large language models (LLMs) and pre...

arXiv - AI · 4 min ·
[2602.08676] LLaDA2.1: Speeding Up Text Diffusion via Token Editing
Machine Learning

[2602.08676] LLaDA2.1: Speeding Up Text Diffusion via Token Editing

LLaDA2.1 introduces a novel approach to text diffusion by integrating Token-to-Token editing into the Mask-to-Token scheme, enhancing bot...

arXiv - Machine Learning · 4 min ·
[2602.08543] GISA: A Benchmark for General Information-Seeking Assistant
Llms

[2602.08543] GISA: A Benchmark for General Information-Seeking Assistant

The paper introduces GISA, a benchmark designed for evaluating General Information-Seeking Assistants, addressing limitations in existing...

arXiv - AI · 4 min ·
[2602.07954] Bielik Guard: Efficient Polish Language Safety Classifiers for LLM Content Moderation
Llms

[2602.07954] Bielik Guard: Efficient Polish Language Safety Classifiers for LLM Content Moderation

The Bielik Guard presents efficient Polish language classifiers for moderating content in large language models, achieving high precision...

arXiv - AI · 4 min ·
[2602.00020] Beyond Static Question Banks: Dynamic Knowledge Expansion via LLM-Automated Graph Construction and Adaptive Generation
Llms

[2602.00020] Beyond Static Question Banks: Dynamic Knowledge Expansion via LLM-Automated Graph Construction and Adaptive Generation

This paper presents a framework for dynamic knowledge expansion in personalized education, utilizing LLMs for automated graph constructio...

arXiv - AI · 4 min ·
[2601.09605] Sim2real Image Translation Enables Viewpoint-Robust Policies from Fixed-Camera Datasets
Nlp

[2601.09605] Sim2real Image Translation Enables Viewpoint-Robust Policies from Fixed-Camera Datasets

The paper presents MANGO, a novel image translation method that enhances viewpoint robustness in robot manipulation policies using fixed-...

arXiv - AI · 4 min ·
[2512.18080] From Prompt to Product: A Human-Centered Benchmark of Agentic App Generation Systems
Nlp

[2512.18080] From Prompt to Product: A Human-Centered Benchmark of Agentic App Generation Systems

This paper introduces a human-centered benchmark for evaluating agentic app generation systems, comparing platforms like Replit, Bolt, an...

arXiv - AI · 4 min ·
[2512.15891] Dynamical Mechanisms for Coordinating Long-term Working Memory Based on the Precision of Spike-timing in Cortical Neurons
Nlp

[2512.15891] Dynamical Mechanisms for Coordinating Long-term Working Memory Based on the Precision of Spike-timing in Cortical Neurons

The article explores the mechanisms of long-term working memory in cortical neurons, emphasizing the role of spike-timing precision in co...

arXiv - AI · 4 min ·
Previous Page 135 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