Large Language Model Group
Publications
22 publications · Most recent first
- TEAR: Table Extraction with Attribute Recommendation from Texts via Large Language ModelsSIGMOD, 2027 · Accepted.
- Hypergraph-Enhanced Evidence Selection for Long-Context Multimodal Document QAICDE, 2027.
- Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language ModelsWSDM, 2026.
- Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network DesignICML, 2026.
- Context-Driven Incremental Compression for Multi-Turn Dialogue GenerationICML, 2026.
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- BubbleRAG: Interactive Cognitive Offloading with Thought Bubble in Retrieval-Augmented GenerationFindings of ACL, 2026.
- Enabling Retriever-LLM Connection Across the Semantic Gap in Retrieval-Augmented GenerationTKDD, 2026.
- VoG: Enhancing LLM Reasoning through Stepwise Verification on Knowledge GraphsICLR, 2026.
- Efficient Zero-Shot and Label-free Log Anomaly Detection for Resource-Constrained SystemsICDE, 2026.
- Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive LearningKDD, 2025.
- ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural IndustryACL Industry Track, 2025.
- Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing ModelsICLR, 2025.
- A Dataset for Investigations of Amine-Impregnated Solid Adsorbent for Direct Air CaptureScientific Data, 2025.
- Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs InferencearXiv, 2025 · Preprint.
- Learning Towards Emergence: Paving the Way to Induce Emergence by Inhibiting Monosemantic Neurons on Pre-trained ModelsarXiv, 2025 · Preprint.
- PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous ComputingarXiv, 2025 · Preprint.
- SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge GraphKDD, 2024.
- GradGCL: Gradient Graph Contrastive LearningICDE, 2024.
- A Universal and Interpretable Method for Enhancing Stock Price PredictionCIKM, 2024.
- R2AG: Incorporating Retrieval Information into Retrieval Augmented GenerationFindings of EMNLP, 2024.
- Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural NetworksKDD, 2024.
- Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image DenoisingICCV, 2023.