Imagen de Portada

Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Valluru, Siva Likitha, Srivastava, Biplav, Paladi, Sai Teja, Yan, Siwen, Natarajan, Sriraam
Formato:	Preprint
Publicado:	2023
Materias:	Artificial Intelligence H.3.3; I.2.7
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Improving and Evaluating Open Deep Research Agents
por: Allabadi, Doaa, et al.
Publicado: (2025)

Real-World En Call Center Transcripts Dataset with PII Redaction
por: Dao, Ha, et al.
Publicado: (2025)

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

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

NewsScope: Schema-Grounded Cross-Domain News Claim Extraction with Open Models
por: Pandya, Nidhi
Publicado: (2025)

NameBERT: Scaling Name-Based Nationality Classification with LLM-Augmented Open Academic Data
por: Ming, Cong, et al.
Publicado: (2026)

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

Benchmarking Google Embeddings 2 against Open-Source Models for Multilingual Dense Retrieval and RAG Systems
por: Cirillo, Stefano, et al.
Publicado: (2026)

The Case for Intent-Based Query Rewriting
por: Nicolai, Gianna Lisa, et al.
Publicado: (2025)

LLM-as-a-Judge: Rapid Evaluation of Legal Document Recommendation for Retrieval-Augmented Generation
por: Pradhan, Anu, et al.
Publicado: (2025)

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

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

Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders
por: Iana, Andreea, et al.
Publicado: (2024)

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

Flippi: End To End GenAI Assistant for E-Commerce
por: Rajasekar, Anand A., et al.
Publicado: (2025)

Fine-Grained Emotion Recognition via In-Context Learning
por: Ren, Zhaochun, et al.
Publicado: (2025)

Adaptive ToR: Complexity-Aware Tree-Based Retrieval for Pareto-Optimal Multi-Intent NLU
por: Yoo, Hee-Kyong, et al.
Publicado: (2026)

Evaluation of Chunking Strategies for Effective Text Embedding in Low-Resource Language on Agricultural Documents
por: Chhoun, Sovandara, et al.
Publicado: (2026)

Stage-Audit: Auditable Source-Frontier Discovery for Cross-Wiki Tables
por: Shen, Chen
Publicado: (2026)

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

Towards Adaptive Context Management for Intelligent Conversational Question Answering
por: Perera, Manoj Madushanka, et al.
Publicado: (2025)

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

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

When Stored Evidence Stops Being Usable: Scale-Conditioned Evaluation of Agent Memory
por: Shao, Jiaqi, et al.
Publicado: (2026)

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

Optimizing Retrieval-Augmented Generation for Electrical Engineering: A Case Study on ABB Circuit Breakers
por: Alawadhi, Salahuddin, et al.
Publicado: (2025)

2024 Google Scholar Research Interest Ranking for Top 3260 Computer Science Authors
por: Rasane, Atharva
Publicado: (2024)

Local Hybrid Retrieval-Augmented Document QA
por: Astrino, Paolo
Publicado: (2025)

QUARK: Robust Retrieval under Non-Faithful Queries via Query-Anchored Aggregation
por: Lyu, Rita Qiuran, et al.
Publicado: (2026)

FACTUM: Mechanistic Detection of Citation Hallucination in Long-Form RAG
por: Dassen, Maxime, et al.
Publicado: (2026)

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

Seeing through the Conflict: Transparent Knowledge Conflict Handling in Retrieval-Augmented Generation
por: Ye, Hua, et al.
Publicado: (2026)

Contextually Aware E-Commerce Product Question Answering using RAG
por: Tangarajan, Praveen, et al.
Publicado: (2025)

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

NCTB-QA: A Large-Scale Bangla Educational Question Answering Dataset and Benchmarking Performance
por: Eyasir, Abrar, et al.
Publicado: (2026)

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

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

A Comparative Study of Language Models for Khmer Retrieval-Augmented Question Answering
por: Ros, Sereiwathna, et al.
Publicado: (2026)

Extending AI for Research to the Humanities: A Multi-Agent Framework for Evidence-Grounded Scholarship
por: Pan, Yating, et al.
Publicado: (2026)

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