10 citations · 24 across the 10 of their papers we have counts for
10 papers
Beyond Single-Modal Analytics: A Framework for Integrating Heterogeneous LLM-Based Query Systems for Multi-Modal Data
Ruyu Li, Tinghui Zhang, Haodi Ma +2
With the increasing use of multi-modal data, semantic query has become more and more demanded in data management systems, which is an important way to access and analyze multi-moda…
Bridging Vision Language Models and Symbolic Grounding for Video Question Answering
Haodi Ma, Vyom Pathak, Daisy Zhe Wang
Video Question Answering (VQA) requires models to reason over spatial, temporal, and causal cues in videos. Recent vision language models (VLMs) achieve strong results but often re…
Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contexts
Haodi Ma, Dzmitry Kasinets, Daisy Zhe Wang
Multimodal knowledge graph completion (MMKGC) aims to predict missing links in multimodal knowledge graphs (MMKGs) by leveraging information from various modalities alongside struc…
LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
Shibo Hao, Yi Gu, Haotian Luo +9
Generating accurate step-by-step reasoning is essential for Large Language Models (LLMs) to address complex problems and enhance robustness and interpretability. Despite the flux o…
LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-modal Data
Yifan Wang, Haodi Ma, Daisy Zhe Wang
Large language model (LLM) has marked a pivotal moment in the field of machine learning and deep learning. Recently its capability for query planning has been investigated, includi…
Simple Rule Injection for ComplEx Embeddings
Haodi Ma, Anthony Colas, Yuejie Wang +2
Recent works in neural knowledge graph inference attempt to combine logic rules with knowledge graph embeddings to benefit from prior knowledge. However, they usually cannot avoid…
Can Knowledge Graphs Simplify Text?
Anthony Colas, Haodi Ma, Xuanli He +2
Knowledge Graph (KG)-to-Text Generation has seen recent improvements in generating fluent and informative sentences which describe a given KG. As KGs are widespread across multiple…
Reasoning with Language Model is Planning with World Model
Shibo Hao, Yi Gu, Haodi Ma +4
Large language models (LLMs) have shown remarkable reasoning capabilities, especially when prompted to generate intermediate reasoning steps (e.g., Chain-of-Thought, CoT). However,…
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge
Haodi Ma, Daisy Zhe Wang
Knowledge graphs (KG) have served as the key component of various natural language processing applications. Commonsense knowledge graphs (CKG) are a special type of KG, where entit…
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval
Yifan Wang, Haodi Ma, Daisy Zhe Wang
Many recent approaches of passage retrieval are using dense embeddings generated from deep neural models, called "dense passage retrieval". The state-of-the-art end-to-end dense pa…