PerSoMed: A Large-Scale Balanced Dataset for Persian Social Media Text Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chehreh, Isun, Ansari, Ebrahim
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Information Retrieval Social and Information Networks I.2.7; H.3.1; H.3.3
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Likert or Not: LLM Absolute Relevance Judgments on Fine-Grained Ordinal Scales
di: Godfrey, Charles, et al.
Pubblicazione: (2025)

AI-Friendly LaTeX: Using LaTeX Code as a Knowledge Source for Retrieval-Augmented Generation
di: Verhoeff, Tom
Pubblicazione: (2026)

Scaling Multilingual Semantic Search in Uber Eats Delivery
di: Ling, Bo, et al.
Pubblicazione: (2026)

MasterSet: A Large-Scale Benchmark for Must-Cite Citation Recommendation in the AI/ML Literature
di: Ratul, Md Toyaha Rahman, et al.
Pubblicazione: (2026)

Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints
di: Liu, Jianan, et al.
Pubblicazione: (2026)

BridgeRAG: Training-Free Bridge-Conditioned Retrieval for Multi-Hop Question Answering
di: Bacellar, Andre
Pubblicazione: (2026)

Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
di: Iana, Andreea, et al.
Pubblicazione: (2023)

Session Context Embedding for Intent Understanding in Product Search
di: Mehrdad, Navid, et al.
Pubblicazione: (2024)

Does UMBRELA Work on Other LLMs?
di: Farzi, Naghmeh, et al.
Pubblicazione: (2025)

Algorithmic Trust and Compliance: Benchmarking Brand Notability for UK iGaming Entities in Generative Search Engines
di: Oruesagasti, Julen
Pubblicazione: (2026)

Criteria-Based LLM Relevance Judgments
di: Farzi, Naghmeh, et al.
Pubblicazione: (2025)

Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs
di: Koutsiaris, Christos
Pubblicazione: (2026)

Graph-GRPO: Dependency-Aware Credit Assignment for Generative E-commerce Search Relevance
di: Che, Jiarui, et al.
Pubblicazione: (2026)

Optimizing open-domain question answering with graph-based retrieval augmented generation
di: Cahoon, Joyce, et al.
Pubblicazione: (2025)

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation
di: Zeng, Yangchen, et al.
Pubblicazione: (2026)

VOGUE: A Multimodal Dataset for Conversational Recommendation in Fashion
di: Guo, David, et al.
Pubblicazione: (2025)

Diversification as Risk Minimization
di: Takehi, Rikiya, et al.
Pubblicazione: (2025)

From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms
di: Kai, Zhang, et al.
Pubblicazione: (2026)

A Case Study of Balanced Query Recommendation on Wikipedia
di: Mishra, Harshit, et al.
Pubblicazione: (2025)

Augmented Relevance Datasets with Fine-Tuned Small LLMs
di: Fitte-Rey, Quentin, et al.
Pubblicazione: (2025)

AuthorityBench: Benchmarking LLM Authority Perception for Reliable Retrieval-Augmented Generation
di: Yao, Zhihui, et al.
Pubblicazione: (2026)

Topic Is Not Agenda: A Citation-Community Audit of Text Embeddings
di: Yoo, Junseon
Pubblicazione: (2026)

Uncovering the Limitations of Query Performance Prediction: Failures, Insights, and Implications for Selective Query Processing
di: Chifu, Adrian-Gabriel, et al.
Pubblicazione: (2025)

What Matters in LLM-Based Feature Extractor for Recommender? A Systematic Analysis of Prompts, Models, and Adaptation
di: Shi, Kainan, et al.
Pubblicazione: (2025)

Generative AI-Based Virtual Assistant using Retrieval-Augmented Generation: An evaluation study for bachelor projects
di: Verşebeniuc, Dumitru, et al.
Pubblicazione: (2026)

MLDocRAG: Multimodal Long-Context Document Retrieval Augmented Generation
di: Zhang, Yongyue, et al.
Pubblicazione: (2026)

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation
di: Severin, Nikita, et al.
Pubblicazione: (2026)

WisPaper: Your AI Scholar Search Engine
di: Ju, Li, et al.
Pubblicazione: (2025)

Temporal Decay of Co-Citation Predictability: A 20-Year Statute Retrieval Benchmark from 396M Ukrainian Court Citations
di: Ovcharov, Volodymyr
Pubblicazione: (2026)

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications
di: Kommineni, Vamsi Krishna, et al.
Pubblicazione: (2024)

Less LLM, More Documents: Searching for Improved RAG
di: Ning, Jingjie, et al.
Pubblicazione: (2025)

MeVer at CheckThat! 2026: Cluster-Aware Hard-Negative Mining for Multilingual Scientific-Source Retrieval
di: Bakagianni, Juli, et al.
Pubblicazione: (2026)

Generative Query Reformulation Using Ensemble Prompting, Document Fusion, and Relevance Feedback
di: Dhole, Kaustubh D., et al.
Pubblicazione: (2024)

RLM-on-KG: Heuristics First, LLMs When Needed: Adaptive Retrieval Control over Mention Graphs for Scattered Evidence
di: Volpini, Andrea, et al.
Pubblicazione: (2026)

Exploring Information Retrieval Landscapes: An Investigation of a Novel Evaluation Techniques and Comparative Document Splitting Methods
di: Narimissa, Esmaeil, et al.
Pubblicazione: (2024)

Query-Centric Graph Retrieval Augmented Generation
di: Wu, Yaxiong, et al.
Pubblicazione: (2025)

Evaluating the Effectiveness of Large Language Models in Automated News Article Summarization
di: Houamegni, Lionel Richy Panlap, et al.
Pubblicazione: (2025)

Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks
di: Böckling, Martin, et al.
Pubblicazione: (2025)

Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models
di: Hu, Zhibo, et al.
Pubblicazione: (2024)

Expanding Relevance Judgments for Medical Case-based Retrieval Task with Multimodal LLMs
di: Pires, Catarina, et al.
Pubblicazione: (2025)