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Papers
Howard University-AI4PC at SemEval-2025 Task 8: DeepTabCoder - Code-based Retrieval and In-context Learning for Question-Answering over Tabular Data
SemEval 2025
How Credible Is an Answer From Retrieval-Augmented LLMs? Investigation and Evaluation With Multi-Hop QA
COLING 2025
How Does Knowledge Selection Help Retrieval Augmented Generation?
EMNLP 2025
How LLMs React to Industrial Spatio-Temporal Data? Assessing Hallucination with a Novel Traffic Incident Benchmark Dataset
NAACL 2025
How to Compare Things Properly? A Study of Argument Relevance in Comparative Question Answering
ACL 2025
Huatuo-26M, a Large-scale Chinese Medical QA Dataset
NAACL 2025
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
ACL 2025
Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation
NAACL 2025
Hybrid Fact-Checking that Integrates Knowledge Graphs, Large Language Models, and Search-Based Retrieval Agents Improves Interpretable Claim Verification
EMNLP 2025
HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning
EMNLP 2025
HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses
ACL 2025
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
NAACL 2025
iai_MSU at SemEval-2025 Task-3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes in English
SemEval 2025
Identifying and Answering Questions with False Assumptions: An Interpretable Approach
EMNLP 2025
Imagine and Seek: Improving Composed Image Retrieval with an Imagined Proxy
CVPR 2025
Implementing and Evaluating Multi-source Retrieval-Augmented Translation
EMNLP 2025
Implementing Retrieval Augmented Generation Technique on Unstructured and Structured Data Sources in a Call Center of a Large Financial Institution
NAACL 2025
ImpRAG: Retrieval-Augmented Generation with Implicit Queries
EMNLP 2025
Improving AI assistants embedded in short e-learning courses with limited textual content
ACL 2025
Improving Context Fidelity via Native Retrieval-Augmented Reasoning
EMNLP 2025
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
ACL 2025
Improving Factuality with Explicit Working Memory
ACL 2025
Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation
ACL 2025
Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations
EMNLP 2025
Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation
AAAI 2025