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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

[2602.24277] Resources for Automated Evaluation of Assistive RAG Systems that Help Readers with News Trustworthiness Assessment
Nlp

[2602.24277] Resources for Automated Evaluation of Assistive RAG Systems that Help Readers with News Trustworthiness Assessment

Abstract page for arXiv paper 2602.24277: Resources for Automated Evaluation of Assistive RAG Systems that Help Readers with News Trustwo...

arXiv - AI · 4 min ·
[2602.23405] On De-Individuated Neurons: Continuous Symmetries Enable Dynamic Topologies
Nlp

[2602.23405] On De-Individuated Neurons: Continuous Symmetries Enable Dynamic Topologies

Abstract page for arXiv paper 2602.23405: On De-Individuated Neurons: Continuous Symmetries Enable Dynamic Topologies

arXiv - Machine Learning · 4 min ·
[2602.24181] A Mixed Diet Makes DINO An Omnivorous Vision Encoder
Nlp

[2602.24181] A Mixed Diet Makes DINO An Omnivorous Vision Encoder

Abstract page for arXiv paper 2602.24181: A Mixed Diet Makes DINO An Omnivorous Vision Encoder

arXiv - AI · 3 min ·
[2602.24283] Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation
Llms

[2602.24283] Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation

Abstract page for arXiv paper 2602.24283: Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation

arXiv - Machine Learning · 4 min ·
[2602.24172] ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models
Llms

[2602.24172] ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models

Abstract page for arXiv paper 2602.24172: ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models

arXiv - AI · 3 min ·
[2602.24281] Memory Caching: RNNs with Growing Memory
Machine Learning

[2602.24281] Memory Caching: RNNs with Growing Memory

Abstract page for arXiv paper 2602.24281: Memory Caching: RNNs with Growing Memory

arXiv - Machine Learning · 4 min ·
[2602.24119] Terminology Rarity Predicts Catastrophic Failure in LLM Translation of Low-Resource Ancient Languages: Evidence from Ancient Greek
Llms

[2602.24119] Terminology Rarity Predicts Catastrophic Failure in LLM Translation of Low-Resource Ancient Languages: Evidence from Ancient Greek

Abstract page for arXiv paper 2602.24119: Terminology Rarity Predicts Catastrophic Failure in LLM Translation of Low-Resource Ancient Lan...

arXiv - AI · 4 min ·
[2602.24262] Coverage-Aware Web Crawling for Domain-Specific Supplier Discovery via a Web--Knowledge--Web Pipeline
Nlp

[2602.24262] Coverage-Aware Web Crawling for Domain-Specific Supplier Discovery via a Web--Knowledge--Web Pipeline

Abstract page for arXiv paper 2602.24262: Coverage-Aware Web Crawling for Domain-Specific Supplier Discovery via a Web--Knowledge--Web Pi...

arXiv - Machine Learning · 3 min ·
[2602.24060] Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis
Llms

[2602.24060] Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis

Abstract page for arXiv paper 2602.24060: Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis

arXiv - AI · 4 min ·
[2602.24069] Leveraging Non-linear Dimension Reduction and Random Walk Co-occurrence for Node Embedding
Nlp

[2602.24069] Leveraging Non-linear Dimension Reduction and Random Walk Co-occurrence for Node Embedding

Abstract page for arXiv paper 2602.24069: Leveraging Non-linear Dimension Reduction and Random Walk Co-occurrence for Node Embedding

arXiv - Machine Learning · 3 min ·
[2602.23949] HotelQuEST: Balancing Quality and Efficiency in Agentic Search
Llms

[2602.23949] HotelQuEST: Balancing Quality and Efficiency in Agentic Search

Abstract page for arXiv paper 2602.23949: HotelQuEST: Balancing Quality and Efficiency in Agentic Search

arXiv - AI · 3 min ·
[2602.23947] Hierarchical Concept-based Interpretable Models
Machine Learning

[2602.23947] Hierarchical Concept-based Interpretable Models

Abstract page for arXiv paper 2602.23947: Hierarchical Concept-based Interpretable Models

arXiv - Machine Learning · 3 min ·
[2602.23804] Actor-Critic Pretraining for Proximal Policy Optimization
Machine Learning

[2602.23804] Actor-Critic Pretraining for Proximal Policy Optimization

Abstract page for arXiv paper 2602.23804: Actor-Critic Pretraining for Proximal Policy Optimization

arXiv - Machine Learning · 3 min ·
[2602.23719] SAGE-LLM: Towards Safe and Generalizable LLM Controller with Fuzzy-CBF Verification and Graph-Structured Knowledge Retrieval for UAV Decision
Llms

[2602.23719] SAGE-LLM: Towards Safe and Generalizable LLM Controller with Fuzzy-CBF Verification and Graph-Structured Knowledge Retrieval for UAV Decision

Abstract page for arXiv paper 2602.23719: SAGE-LLM: Towards Safe and Generalizable LLM Controller with Fuzzy-CBF Verification and Graph-S...

arXiv - AI · 3 min ·
[2602.23784] TradeFM: A Generative Foundation Model for Trade-flow and Market Microstructure
Llms

[2602.23784] TradeFM: A Generative Foundation Model for Trade-flow and Market Microstructure

Abstract page for arXiv paper 2602.23784: TradeFM: A Generative Foundation Model for Trade-flow and Market Microstructure

arXiv - Machine Learning · 3 min ·
[2602.23761] OPTIAGENT: A Physics-Driven Agentic Framework for Automated Optical Design
Llms

[2602.23761] OPTIAGENT: A Physics-Driven Agentic Framework for Automated Optical Design

Abstract page for arXiv paper 2602.23761: OPTIAGENT: A Physics-Driven Agentic Framework for Automated Optical Design

arXiv - Machine Learning · 4 min ·
[2602.23737] Bridging Dynamics Gaps via Diffusion Schrödinger Bridge for Cross-Domain Reinforcement Learning
Generative Ai

[2602.23737] Bridging Dynamics Gaps via Diffusion Schrödinger Bridge for Cross-Domain Reinforcement Learning

Abstract page for arXiv paper 2602.23737: Bridging Dynamics Gaps via Diffusion Schrödinger Bridge for Cross-Domain Reinforcement Learning

arXiv - Machine Learning · 3 min ·
[2602.23656] TRIZ-RAGNER: A Retrieval-Augmented Large Language Model for TRIZ-Aware Named Entity Recognition in Patent-Based Contradiction Mining
Llms

[2602.23656] TRIZ-RAGNER: A Retrieval-Augmented Large Language Model for TRIZ-Aware Named Entity Recognition in Patent-Based Contradiction Mining

Abstract page for arXiv paper 2602.23656: TRIZ-RAGNER: A Retrieval-Augmented Large Language Model for TRIZ-Aware Named Entity Recognition...

arXiv - AI · 4 min ·
[2602.23638] FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA
Llms

[2602.23638] FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA

Abstract page for arXiv paper 2602.23638: FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA

arXiv - Machine Learning · 4 min ·
[2602.23630] BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization
Machine Learning

[2602.23630] BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization

Abstract page for arXiv paper 2602.23630: BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization

arXiv - Machine Learning · 4 min ·
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