Natural Language Processing

Text understanding and language tasks

Top This Week

Nlp

[D] Simple Questions Thread

Please post your questions here instead of creating a new thread. Encourage others who create new posts for questions to post here instea...

Reddit - Machine Learning · 1 min ·
Llms

Which LLM is the best for writing a scientific paper?

I'll need to write a scientifc research paper for university. We're allowed and encouraged to use AI for our work. Be it for language or ...

Reddit - Artificial Intelligence · 1 min ·
Llms

The Claude Code leak accidentally published the first complete blueprint for production AI agents. Here's what it tells us about where this is all going.

Most coverage of the Claude Code leak focuses on the drama or the hidden features. But the bigger story is that this is the first time we...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.00349] EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents
Llms

[2603.00349] EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents

Abstract page for arXiv paper 2603.00349: EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents

arXiv - AI · 4 min ·
[2603.00267] Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
Machine Learning

[2603.00267] Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking

Abstract page for arXiv paper 2603.00267: Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking

arXiv - AI · 4 min ·
[2603.00285] TraderBench: How Robust Are AI Agents in Adversarial Capital Markets?
Llms

[2603.00285] TraderBench: How Robust Are AI Agents in Adversarial Capital Markets?

Abstract page for arXiv paper 2603.00285: TraderBench: How Robust Are AI Agents in Adversarial Capital Markets?

arXiv - AI · 3 min ·
Llms

[D] How to get credits to run experiments on closed source models as a student researcher.

Hello! I am working on building and evaluating frontier models on a benchmark. The task is overall pretty reasoning intensive, and ends u...

Reddit - Machine Learning · 1 min ·
[2601.16510] Learning to Optimize by Differentiable Programming
Nlp

[2601.16510] Learning to Optimize by Differentiable Programming

Abstract page for arXiv paper 2601.16510: Learning to Optimize by Differentiable Programming

arXiv - Machine Learning · 3 min ·
[2511.09769] Structure tensor Reynolds-averaged Navier-Stokes turbulence models with equivariant neural networks
Machine Learning

[2511.09769] Structure tensor Reynolds-averaged Navier-Stokes turbulence models with equivariant neural networks

Abstract page for arXiv paper 2511.09769: Structure tensor Reynolds-averaged Navier-Stokes turbulence models with equivariant neural netw...

arXiv - Machine Learning · 4 min ·
[2511.05408] Steering Language Models with Weight Arithmetic
Llms

[2511.05408] Steering Language Models with Weight Arithmetic

Abstract page for arXiv paper 2511.05408: Steering Language Models with Weight Arithmetic

arXiv - Machine Learning · 4 min ·
[2510.02524] Unraveling Syntax: How Language Models Learn Context-Free Grammars
Llms

[2510.02524] Unraveling Syntax: How Language Models Learn Context-Free Grammars

Abstract page for arXiv paper 2510.02524: Unraveling Syntax: How Language Models Learn Context-Free Grammars

arXiv - Machine Learning · 4 min ·
[2507.06867] Conformal Prediction for Long-Tailed Classification
Nlp

[2507.06867] Conformal Prediction for Long-Tailed Classification

Abstract page for arXiv paper 2507.06867: Conformal Prediction for Long-Tailed Classification

arXiv - Machine Learning · 4 min ·
[2505.19862] REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Reasoning
Machine Learning

[2505.19862] REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Reasoning

Abstract page for arXiv paper 2505.19862: REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Reasoning

arXiv - Machine Learning · 4 min ·
[2405.12317] Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
Nlp

[2405.12317] Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators

Abstract page for arXiv paper 2405.12317: Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integra...

arXiv - Machine Learning · 4 min ·
[2602.02090] LEC-KG: An LLM-Embedding Collaborative Framework for Domain-Specific Knowledge Graph Construction -- A Case Study on SDGs
Llms

[2602.02090] LEC-KG: An LLM-Embedding Collaborative Framework for Domain-Specific Knowledge Graph Construction -- A Case Study on SDGs

Abstract page for arXiv paper 2602.02090: LEC-KG: An LLM-Embedding Collaborative Framework for Domain-Specific Knowledge Graph Constructi...

arXiv - AI · 4 min ·
[2601.11556] CSyMR: Benchmarking Compositional Music Information Retrieval in Symbolic Music Reasoning
Llms

[2601.11556] CSyMR: Benchmarking Compositional Music Information Retrieval in Symbolic Music Reasoning

Abstract page for arXiv paper 2601.11556: CSyMR: Benchmarking Compositional Music Information Retrieval in Symbolic Music Reasoning

arXiv - Machine Learning · 4 min ·
[2512.17131] Smoothing DiLoCo with Primal Averaging for Faster Training of LLMs
Llms

[2512.17131] Smoothing DiLoCo with Primal Averaging for Faster Training of LLMs

Abstract page for arXiv paper 2512.17131: Smoothing DiLoCo with Primal Averaging for Faster Training of LLMs

arXiv - Machine Learning · 4 min ·
[2510.17480] Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
Machine Learning

[2510.17480] Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization

Abstract page for arXiv paper 2510.17480: Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization

arXiv - Machine Learning · 4 min ·
[2512.12436] Rough Sets for Explainability of Spectral Graph Clustering
Nlp

[2512.12436] Rough Sets for Explainability of Spectral Graph Clustering

Abstract page for arXiv paper 2512.12436: Rough Sets for Explainability of Spectral Graph Clustering

arXiv - Machine Learning · 3 min ·
[2512.06879] WisPaper: Your AI Scholar Search Engine
Nlp

[2512.06879] WisPaper: Your AI Scholar Search Engine

Abstract page for arXiv paper 2512.06879: WisPaper: Your AI Scholar Search Engine

arXiv - AI · 4 min ·
[2512.00306] VCWorld: A Biological World Model for Virtual Cell Simulation
Machine Learning

[2512.00306] VCWorld: A Biological World Model for Virtual Cell Simulation

Abstract page for arXiv paper 2512.00306: VCWorld: A Biological World Model for Virtual Cell Simulation

arXiv - Machine Learning · 3 min ·
[2510.25662] User Misconceptions of LLM-Based Conversational Programming Assistants
Llms

[2510.25662] User Misconceptions of LLM-Based Conversational Programming Assistants

Abstract page for arXiv paper 2510.25662: User Misconceptions of LLM-Based Conversational Programming Assistants

arXiv - AI · 3 min ·
[2505.08087] Manifold Learning with Normalizing Flows: Towards Regularity, Expressivity and Iso-Riemannian Geometry
Machine Learning

[2505.08087] Manifold Learning with Normalizing Flows: Towards Regularity, Expressivity and Iso-Riemannian Geometry

Abstract page for arXiv paper 2505.08087: Manifold Learning with Normalizing Flows: Towards Regularity, Expressivity and Iso-Riemannian G...

arXiv - Machine Learning · 4 min ·
Previous Page 57 Next

Related Topics

Stay updated with AI News

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

Daily or weekly digest • Unsubscribe anytime