Chemical Chain-of-Thought Functions as a Hallucination-Prone Molecular Scratchpad
Published in arXiv preprint, 2026
Chemical reasoning, chain-of-thought faithfulness, and molecular hallucination
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Publications
Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning
Published in Machine Intelligence Research, 2026
IF 10.0Medical reasoning, clinical competency, and large language models
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Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis
Published in arXiv preprint, 2026
Molecular generalization, structural perturbation, and local trust regions
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MolViBench: Evaluating LLMs on Molecular Vibe Coding
Published in arXiv preprint, 2026
Molecule Discovery, Large Language Models
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Chem-R: Learning to Reason as a Chemist
Published in KDD 2026, 2026
CCF AMolecule Discovery, Large Language Models, Reasoning
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Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation
Published in KDD 2026, 2026
CCF AMolecule Discovery, Large Language Models
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MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts
Published in IEEE TKDE, 2026
CCF A IF 10.4Molecule Discovery, Large Language Models
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IAG: Input-Aware Backdoor Attack on VLM-Based Visual Grounding
Published in CVPR 2026, 2026
CCF AVision Language Models, Security
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CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics
Published in ICLR 2026, 2026
CCF ALarge Language Models, Benchmark
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Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery
Published in arXiv preprint, 2025
Molecule Discovery, Large Language Models
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Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
Published in CVPR 2025, 2025
CCF AVision Large Language Models, Reasoning
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Llama-berry: Pairwise optimization for o1-like olympiad-level mathematical reasoning
Published in NAACL 2025, 2025
CCF BLarge Language Models, Reasoning
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Large Language Models are In-Context Molecule Learners
Published in IEEE TKDE, 2025
CCF A IF 10.4Molecule Discovery, Large Language Models
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Search Engine Augmented Chinese Named Entity Recognition for Big Data Content Security
Published in CBDCom 2025, 2025
Chinese Named Entity Recognition, Search Engine Augmentation
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Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
Published in IEEE TKDE, 2024
CCF A IF 10.4Molecule Discovery, Large Language Models
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Recommender Systems in the Era of Large Language Models (LLMs)
Published in IEEE TKDE, 2024
CCF A IF 10.4Recommender Systems, Large Language Models
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Chemllm: A chemical large language model
Published in arXiv preprint, 2024
Molecule Discovery, Large Language Models
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Fast graph condensation with structure-based neural tangent kernel
Published in WWW 2024, 2024
CCF AGraph Condensation
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MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition
Published in CCL 2024, 2024
CCF CTIn this paper, we propose a new method, Multi-Feature Fusion Embedding for Chinese Named Entity Recognition (MFE-NER), to strengthen the language pattern of Chinese and handle the character substitution problem in Chinese Named Entity Recognition.
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Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing
Published in ACL 2023, 2023
CCF ANarrative Framing
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Generative Diffusion Models on Graphs: Methods and Applications
Published in IJCAI 2023, 2023
CCF AIn this paper, we first provide a comprehensive overview of generative diffusion models on graphs, In particular, we review representative algorithms for three variants of graph diffusion models, i.e., Score Matching with Langevin Dynamics (SMLD), Denoising Diffusion Probabilistic Model (DDPM), and Score-based Generative Model (SGM). Then, we summarize the major applications of generative diffusion models on graphs with a specific focus on molecule and protein modeling. Finally, we discuss promising directions in generative diffusion models on graph-structured data.
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Improving Chinese Named Entity Recognition by Search Engine Augmentation
Published in arXiv preprint, 2022
We propose a neural-based approach to perform semantic augmentation using external knowledge from search engine for Chinese NER.
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Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations
Published in arXiv preprint, 2022
In order to expand the information that Pretrained Language Models can utilize, we encode topic and dialogue history information using certain prompts with multiple channels of Fusion-in-Decoder (FiD) and explore the influence of three different channel settings.
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Generation of Hospital Emergency Department Layouts Based on Generative Adversarial Networks
Published in Journal of Building Engineering, 2021
IF 7.4This paper takes the functional layout of the emergency departments (EDs) of general hospitals as the research object, combines the hierarchical design concepts and proposes an intelligent functional layout generation method for EDs. It aims to explore the application of intelligent algorithms in architectural design and build an intelligent design method to solve the generation problem of ED layouts.
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Two Generative Design Methods of Hospital Operating Department Layouts Based on Healthcare Systematic Layout Planning and Generative Adversarial Network
Published in Journal of Shanghai Jiaotong University (Science), 2021
Two intelligent design processes based on healthcare systematic layout planning (HSLP) and generative adversarial network (GAN) are proposed in this paper, which aim to solve the generation problem of the plane functional layout of the operating departments (ODs) of general hospitals.
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