Natural Language Processing

Text understanding and language tasks

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Nlp

[P] Implemented ACT-R cognitive decay and hyperdimensional computing for AI agent memory (open source)

Built a memory server for AI agents (MCP protocol) and implemented two cognitive science techniques in v7.5 I wanted to share. ACT-R Cogn...

Reddit - Machine Learning · 1 min ·
Nlp

🜏 Echoes of the Forgotten Selves: Fringe Spiral Hypotheses

🜏 Echoes of the Forgotten Selves: Fringe Spiral Hypotheses These hypotheses are not meant to be believed. They are meant to be **held lig...

Reddit - Artificial Intelligence · 1 min ·
Llms

[P] Remote sensing foundation models made easy to use.

This project enables the idea of tasking remote sensing models to acquire embeddings like we task satellites to acquire data! https://git...

Reddit - Machine Learning · 1 min ·

All Content

[2602.17051] Evaluating Cross-Lingual Classification Approaches Enabling Topic Discovery for Multilingual Social Media Data
Nlp

[2602.17051] Evaluating Cross-Lingual Classification Approaches Enabling Topic Discovery for Multilingual Social Media Data

This article evaluates various cross-lingual classification methods for analyzing multilingual social media data, focusing on topic disco...

arXiv - Machine Learning · 4 min ·
[2602.17022] ReIn: Conversational Error Recovery with Reasoning Inception
Llms

[2602.17022] ReIn: Conversational Error Recovery with Reasoning Inception

The paper presents Reasoning Inception (ReIn), a method for improving conversational agents' error recovery without altering their parame...

arXiv - AI · 4 min ·
[2602.17003] Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History
Llms

[2602.17003] Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History

The paper introduces Persona2Web, a benchmark for evaluating personalized web agents that utilize user history to resolve ambiguous queri...

arXiv - AI · 3 min ·
[2602.16968] DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers
Machine Learning

[2602.16968] DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers

The paper presents DDiT, a novel approach for dynamic patch scheduling in diffusion transformers, enhancing efficiency in image and video...

arXiv - AI · 3 min ·
[2602.16957] When Semantic Overlap Is Not Enough: Cross-Lingual Euphemism Transfer Between Turkish and English
Machine Learning

[2602.16957] When Semantic Overlap Is Not Enough: Cross-Lingual Euphemism Transfer Between Turkish and English

This study explores the challenges of cross-lingual euphemism transfer between Turkish and English, highlighting the limitations of seman...

arXiv - AI · 3 min ·
[2602.16932] RankEvolve: Automating the Discovery of Retrieval Algorithms via LLM-Driven Evolution
Llms

[2602.16932] RankEvolve: Automating the Discovery of Retrieval Algorithms via LLM-Driven Evolution

The paper presents RankEvolve, a novel approach utilizing large language models (LLMs) to automate the discovery of retrieval algorithms,...

arXiv - AI · 3 min ·
[2602.16918] Xray-Visual Models: Scaling Vision models on Industry Scale Data
Machine Learning

[2602.16918] Xray-Visual Models: Scaling Vision models on Industry Scale Data

The paper presents Xray-Visual, a novel vision model architecture designed for large-scale image and video understanding, utilizing exten...

arXiv - AI · 4 min ·
[2602.16898] MALLVI: a multi agent framework for integrated generalized robotics manipulation
Llms

[2602.16898] MALLVI: a multi agent framework for integrated generalized robotics manipulation

The paper presents MALLVI, a multi-agent framework for robotic manipulation that utilizes closed-loop feedback to enhance task planning a...

arXiv - Machine Learning · 4 min ·
[2602.16813] One-step Language Modeling via Continuous Denoising
Llms

[2602.16813] One-step Language Modeling via Continuous Denoising

The paper presents a novel flow-based language model (FLM) that utilizes continuous denoising to achieve superior generation quality and ...

arXiv - AI · 4 min ·
[2602.16811] Evaluating Monolingual and Multilingual Large Language Models for Greek Question Answering: The DemosQA Benchmark
Llms

[2602.16811] Evaluating Monolingual and Multilingual Large Language Models for Greek Question Answering: The DemosQA Benchmark

This article presents the DemosQA benchmark, evaluating monolingual and multilingual large language models (LLMs) for Greek question answ...

arXiv - AI · 4 min ·
[2602.16742] DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning
Machine Learning

[2602.16742] DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning

DeepVision-103K introduces a comprehensive dataset designed to enhance reinforcement learning with verifiable rewards, significantly impr...

arXiv - AI · 3 min ·
[2602.16720] APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL
Llms

[2602.16720] APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL

The paper presents APEX-SQL, a novel framework for Text-to-SQL that enhances interaction with complex databases through agentic explorati...

arXiv - AI · 4 min ·
[2602.16719] GPU-Accelerated Algorithms for Graph Vector Search: Taxonomy, Empirical Study, and Research Directions
Machine Learning

[2602.16719] GPU-Accelerated Algorithms for Graph Vector Search: Taxonomy, Empirical Study, and Research Directions

This paper presents a comprehensive survey of GPU-accelerated algorithms for graph vector search, detailing optimization strategies and e...

arXiv - AI · 4 min ·
[2602.17663] CLEF HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Texts
Ai Startups

[2602.17663] CLEF HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Texts

The paper presents the HIPE-2026 evaluation lab focused on extracting person-place relations from multilingual historical texts, enhancin...

arXiv - AI · 3 min ·
[2602.17566] A Hybrid Federated Learning Based Ensemble Approach for Lung Disease Diagnosis Leveraging Fusion of SWIN Transformer and CNN
Machine Learning

[2602.17566] A Hybrid Federated Learning Based Ensemble Approach for Lung Disease Diagnosis Leveraging Fusion of SWIN Transformer and CNN

This article presents a hybrid federated learning model that combines SWIN Transformer and CNN for diagnosing lung diseases, particularly...

arXiv - AI · 4 min ·
[2602.17529] Enhancing Large Language Models (LLMs) for Telecom using Dynamic Knowledge Graphs and Explainable Retrieval-Augmented Generation
Llms

[2602.17529] Enhancing Large Language Models (LLMs) for Telecom using Dynamic Knowledge Graphs and Explainable Retrieval-Augmented Generation

This article presents a novel framework, KG-RAG, that enhances large language models (LLMs) for telecom applications by integrating dynam...

arXiv - AI · 4 min ·
[2602.17544] Evaluating Chain-of-Thought Reasoning through Reusability and Verifiability
Llms

[2602.17544] Evaluating Chain-of-Thought Reasoning through Reusability and Verifiability

This paper evaluates Chain-of-Thought (CoT) reasoning in AI through new metrics of reusability and verifiability, revealing limitations o...

arXiv - AI · 3 min ·
[2602.17386] Visual Model Checking: Graph-Based Inference of Visual Routines for Image Retrieval
Machine Learning

[2602.17386] Visual Model Checking: Graph-Based Inference of Visual Routines for Image Retrieval

The paper presents a novel framework integrating formal verification with deep learning for improved image retrieval, addressing the limi...

arXiv - AI · 4 min ·
[2602.17308] MedClarify: An information-seeking AI agent for medical diagnosis with case-specific follow-up questions
Llms

[2602.17308] MedClarify: An information-seeking AI agent for medical diagnosis with case-specific follow-up questions

MedClarify is an AI agent designed to enhance medical diagnosis by generating case-specific follow-up questions, improving diagnostic acc...

arXiv - Machine Learning · 4 min ·
[2602.17245] Web Verbs: Typed Abstractions for Reliable Task Composition on the Agentic Web
Llms

[2602.17245] Web Verbs: Typed Abstractions for Reliable Task Composition on the Agentic Web

The paper introduces 'Web Verbs', a set of typed abstractions designed to improve task composition on the Agentic Web, enhancing reliabil...

arXiv - AI · 4 min ·
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