:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Linyu, Jin, Zhi, He, Yuanpeng, Jin, Dongming, Zhang, Yichi, Duan, Haoran, Zhang, Xuan, Tao, Zhengwei, Tash, Nyima
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2508.02426
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

When Modalities Remember: Continual Learning for Multimodal Knowledge Graphs
by: Li, Linyu, et al.
Published: (2026)

Rethinking Regularization Methods for Knowledge Graph Completion
by: Li, Linyu, et al.
Published: (2025)

Towards Structure-aware Model for Multi-modal Knowledge Graph Completion
by: Li, Linyu, et al.
Published: (2025)

Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking
by: Zhang, Yifan, et al.
Published: (2025)

Weights to Code: Extracting Interpretable Algorithms from the Discrete Transformer
by: Zhang, Yifan, et al.
Published: (2026)

From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
by: Cai, Borui, et al.
Published: (2023)

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models
by: Zhang, Jin, et al.
Published: (2025)

Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-Shot Learning with Large Language Models
by: Tash, Moein Shahiki, et al.
Published: (2024)

Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
by: Zhang, Yichi, et al.
Published: (2024)

IntentCoding: Amplifying User Intent in Code Generation
by: Fang, Zheng, et al.
Published: (2026)

UserTrace: User-Level Requirements Generation and Traceability Recovery from Software Project Repositories
by: Jin, Dongming, et al.
Published: (2025)

Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex Space
by: Feng, Xincan, et al.
Published: (2024)

ReqElicitGym: An Evaluation Environment for Interview Competence in Conversational Requirements Elicitation
by: Jin, Dongming, et al.
Published: (2026)

Distributed Representations of Entities in Open-World Knowledge Graphs
by: Guo, Lingbing, et al.
Published: (2020)

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
by: Liu, Xiaoze, et al.
Published: (2024)

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
by: Zhang, Haozhen, et al.
Published: (2026)

Joint Embedding Learning of Educational Knowledge Graphs
by: Yao, Siyu, et al.
Published: (2019)

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction
by: Shu, Dong, et al.
Published: (2024)

From Chat to Interview: Agentic Requirements Elicitation with an Experience Ontology
by: Jin, Dongming, et al.
Published: (2026)

PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation
by: Tao, Zhengwei, et al.
Published: (2025)

Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine
by: Dou, Chengfeng, et al.
Published: (2025)

Analyzing Emotional Trends from X platform using SenticNet: A Comparative Analysis with Cryptocurrency Price
by: Tash, Moein Shahiki, et al.
Published: (2024)

SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
by: He, Jinghan, et al.
Published: (2024)

Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
by: Takamoto, Makoto, et al.
Published: (2025)

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
by: Liu, Yang, et al.
Published: (2024)

A Needle in a Haystack: Intent-driven Reusable Artifacts Recommendation with LLMs
by: Jin, Dongming, et al.
Published: (2025)

A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
by: Jin, Dongming, et al.
Published: (2025)

Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings
by: Sharma, Kartik, et al.
Published: (2025)

Continual Multimodal Knowledge Graph Construction
by: Chen, Xiang, et al.
Published: (2023)

Counterfactual Reasoning with Knowledge Graph Embeddings
by: Zellinger, Lena, et al.
Published: (2024)

TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning
by: Wu, Jinyang, et al.
Published: (2025)

S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
by: Ma, Tengfei, et al.
Published: (2024)

FGGM: Fisher-Guided Gradient Masking for Continual Learning
by: Tan, Chao-Hong, et al.
Published: (2026)

Learning Multiplex Representations on Text-Attributed Graphs with One Language Model Encoder
by: Jin, Bowen, et al.
Published: (2023)

ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding
by: Zhu, Lijing, et al.
Published: (2025)

Spatial Knowledge Graph-Guided Multimodal Synthesis
by: Xue, Yida, et al.
Published: (2025)

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles
by: Wu, Jinyang, et al.
Published: (2026)

ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models using Pareto High-quality Data
by: Gu, Haoran, et al.
Published: (2025)

ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs
by: Sun, Lei, et al.
Published: (2024)

Structured Query Construction via Knowledge Graph Embedding
by: Wang, Ruijie, et al.
Published: (2019)