Kun Zhou

Orcid: 0000-0003-0650-9521

Affiliations:
  • Renmin University of China, School of Information, Beijing, China


According to our database1, Kun Zhou authored at least 67 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Exploring the Design Space of Visual Context Representation in Video MLLMs.
CoRR, 2024

Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models.
CoRR, 2024

Towards Effective and Efficient Continual Pre-training of Large Language Models.
CoRR, 2024

LLMBox: A Comprehensive Library for Large Language Models.
CoRR, 2024

YuLan: An Open-source Large Language Model.
CoRR, 2024

Towards Event-oriented Long Video Understanding.
CoRR, 2024

Low-Redundant Optimization for Large Language Model Alignment.
CoRR, 2024

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models.
CoRR, 2024

Less is More: Data Value Estimation for Visual Instruction Tuning.
CoRR, 2024

KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph.
CoRR, 2024


Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Enhancing Multi-View Smoothness for Sequential Recommendation Models.
ACM Trans. Inf. Syst., October, 2023

Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-<i>N</i> Recommendation.
ACM Trans. Inf. Syst., January, 2023

Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Don't Make Your LLM an Evaluation Benchmark Cheater.
CoRR, 2023

What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning.
CoRR, 2023

A Survey of Large Language Models.
CoRR, 2023

Improving News Recommendation via Bottlenecked Multi-task Pre-training.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Alleviating the Long-Tail Problem in Conversational Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving Conversational Recommendation Systems via Counterfactual Data Simulation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Diffusion Models for Non-autoregressive Text Generation: A Survey.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Evaluating Object Hallucination in Large Vision-Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

StructGPT: A General Framework for Large Language Model to Reason over Structured Data.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Visually-augmented pretrained language models for NLP tasks without images.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval.
CoRR, 2022

C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System.
CoRR, 2022

Filter-enhanced MLP is All You Need for Sequential Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

$Great Truths are Always Simple: $ A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Debiased Contrastive Learning of Unsupervised Sentence Representations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.
CoRR, 2021

Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation.
CoRR, 2021

BERT4SO: Neural Sentence Ordering by Fine-tuning BERT.
CoRR, 2021

A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Content Selection Network for Document-Grounded Retrieval-Based Chatbots.
Proceedings of the Advances in Information Retrieval, 2021

Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

CRSLab: An Open-Source Toolkit for Building Conversational Recommender System.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Neural Sentence Ordering Based on Constraint Graphs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.
CoRR, 2020

Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Towards Topic-Guided Conversational Recommender System.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Leveraging Historical Interaction Data for Improving Conversational Recommender System.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Multi-modal Knowledge Graphs for Recommender Systems.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020


  Loading...