most citedAgent-UniRAG: A Trainable Open-Source LLM Agent Framework for Unified Retrieval-Augmented Generation Systems

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SE2026

CollabCoder: Plan-Code Co-Evolution via Collaborative Decision-Making for Efficient Code Generation

Duy Tung Doan, Quang Huy Phung, Dzung Nguyen +1

Automated code generation remains a persistent challenge in software engineering, as conventional multi-agent frameworks are often constrained by static planning, isolated executio…

cs.CL2025

KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval

Chi Minh Bui, Ngoc Mai Thieu, Van Vinh Nguyen +2

The integration of knowledge graphs (KGs) with large language models (LLMs) offers significant potential to improve the retrieval phase of retrieval-augmented generation (RAG) syst…

cs.CL2025

Spec-TOD: A Specialized Instruction-Tuned LLM Framework for Efficient Task-Oriented Dialogue Systems

Quang-Vinh Nguyen, Quang-Chieu Nguyen, Hoang Pham +1

Task-oriented dialogue (TOD) systems facilitate goal-driven interactions between users and machines. While recent advances in deep learning have improved the performance, TOD syste…

cs.CL20251 cited

Agent-UniRAG: A Trainable Open-Source LLM Agent Framework for Unified Retrieval-Augmented Generation Systems

Hoang Pham, Thuy-Duong Nguyen, Khac-Hoai Nam Bui

This paper presents a novel approach for unified retrieval-augmented generation (RAG) systems using the recent emerging large language model (LLM) agent concept. Specifically, Agen…

cs.CL2025

Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation

Hoang Pham, Thanh-Do Nguyen, Khac-Hoai Nam Bui

Claim verification is a long-standing and challenging task that demands not only high accuracy but also explainability of the verification process. This task becomes an emerging re…

cs.CL2025

ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM

Hoang Pham, Thanh-Do Nguyen, Khac-Hoai Nam Bui

Integrating knowledge graphs (KGs) to enhance the reasoning capabilities of large language models (LLMs) is an emerging research challenge in claim verification. While KGs provide…