Qian Liu

Orcid: 0000-0002-3162-935X

Affiliations:
  • University of Auckland, Auckland, New Zealand
  • Nanyang Technological University, Singapore (former)
  • University of Technology Sydney, Sydney, Australia (Ph.D., 2022)
  • Beijing Institute of Technology, Beijing, China (Ph.D., 2020)


According to our database1, Qian Liu authored at least 88 papers between 2017 and 2026.

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Timeline

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Bibliography

2026
Explainable prediction of knowledge recombination: A synergized method with heterogeneous hypergraph learning and large language models.
Inf. Process. Manag., 2026

Legal knowledge infusion for large language models: A survey.
Inf. Fusion, 2026

2025
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization.
CoRR, May, 2025

Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs.
CoRR, May, 2025

SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.
CoRR, March, 2025

SkyLadder: Better and Faster Pretraining via Context Window Scheduling.
CoRR, March, 2025

Unnatural Languages Are Not Bugs but Features for LLMs.
CoRR, March, 2025

CodeArena: A Collective Evaluation Platform for LLM Code Generation.
CoRR, March, 2025

Predictive Data Selection: The Data That Predicts Is the Data That Teaches.
CoRR, March, 2025

Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs.
CoRR, February, 2025

Improving Your Model Ranking on Chatbot Arena by Vote Rigging.
CoRR, January, 2025

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training.
Trans. Mach. Learn. Res., 2025

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Scaling up Masked Diffusion Models on Text.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RegMix: Data Mixture as Regression for Language Model Pre-training.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

When Attention Sink Emerges in Language Models: An Empirical View.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bootstrapping Language Models with DPO Implicit Rewards.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Guest Editorial: Cognitive Analysis for Humans and AI.
Cogn. Comput., November, 2024

PrimeNet: A Framework for Commonsense Knowledge Representation and Reasoning Based on Conceptual Primitives.
Cogn. Comput., November, 2024

Disentangled Retrieval and Reasoning for Implicit Question Answering.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning.
ACM Trans. Inf. Syst., January, 2024

Two Birds with One Stone: Improving Rumor Detection by Addressing the Unfairness Issue.
CoRR, 2024

CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization.
CoRR, 2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
CoRR, 2024

EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot.
CoRR, 2024

ISQA: Informative Factuality Feedback for Scientific Summarization.
CoRR, 2024

StarCoder 2 and The Stack v2: The Next Generation.
CoRR, 2024

Purifying Large Language Models by Ensembling a Small Language Model.
CoRR, 2024

Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One.
CoRR, 2024

Test-Time Backdoor Attacks on Multimodal Large Language Models.
CoRR, 2024

Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models.
CoRR, 2024

Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Mercury: A Code Efficiency Benchmark for Code Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

OctoPack: Instruction Tuning Code Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DataTales: A Benchmark for Real-World Intelligent Data Narration.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Divide and Conquer: Legal Concept-guided Criminal Court View Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Guided Knowledge Generation with Language Models for Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Beyond Memorization: The Challenge of Random Memory Access in Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Faithful Logical Reasoning via Symbolic Chain-of-Thought.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval.
IEEE Trans. Knowl. Data Eng., October, 2023

MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

StarCoder: may the source be with you!
Trans. Mach. Learn. Res., 2023

The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection.
IEEE Trans. Affect. Comput., 2023

Semantic matching in machine reading comprehension: An empirical study.
Inf. Process. Manag., 2023

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning.
CoRR, 2023

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.
CoRR, 2023

Generative Table Pre-training Empowers Models for Tabular Prediction.
CoRR, 2023

SantaCoder: don't reach for the stars!
CoRR, 2023

Bag of Tricks for Training Data Extraction from Language Models.
Proceedings of the International Conference on Machine Learning, 2023

Generative Table Pre-training Empowers Models for Tabular Prediction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CocoSciSum: A Scientific Summarization Toolkit with Compositional Controllability.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PTCSpell: Pre-trained Corrector Based on Character Shape and Pinyin for Chinese Spelling Correction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Reasoning Implicit Sentiment with Chain-of-Thought Prompting.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

On Grounded Planning for Embodied Tasks with Language Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA.
CoRR, 2022

SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Stress Detection from Social Media Articles: New Dataset Benchmark and Analytical Study.
Proceedings of the International Joint Conference on Neural Networks, 2022

Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence.
Proceedings of the International Joint Conference on Neural Networks, 2022

Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Word Representation with Transferable Semantics
PhD thesis, 2021

A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion.
IEEE Trans. Fuzzy Syst., 2021

Domain-specific meta-embedding with latent semantic structures.
Inf. Sci., 2021

Domain structure-based transfer learning for cross-domain word representation.
Inf. Fusion, 2021

Concept Representation by Learning Explicit and Implicit Concept Couplings.
IEEE Intell. Syst., 2021

Pivot-based Candidate Retrieval for Cross-lingual Entity Linking.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Enhancing Negation Scope Detection using Multitask Learning.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
Jointly Learning Topics in Sentence Embedding for Document Summarization.
IEEE Trans. Knowl. Data Eng., 2020

A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2018
Does deep learning help topic extraction? A kernel k-means clustering method with word embedding.
J. Informetrics, 2018

Construction of a Multi-dimensional Vectorized Affective Lexicon.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Task-oriented Word Embedding for Text Classification.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Topical Sentence Embedding for Query Focused Document Summarization.
Proceedings of the IJCAI Workshop on Semantic Machine Learning (SML 2017) co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Enhanced word embedding similarity measures using fuzzy rules for query expansion.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Leveraging Pattern Associations for Word Embedding Models.
Proceedings of the Database Systems for Advanced Applications, 2017


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