We stand with Ukraine

We stand with Ukraine

Xunliang Cai

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning.

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CoRR, 2024

Length Desensitization in Directed Preference Optimization.

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CoRR, 2024

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data.

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CoRR, 2024

S<sup>3</sup>c-Math: Spontaneous Step-level Self-correction Makes Large Language Models Better Mathematical Reasoners.

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CoRR, 2024

ReMamba: Equip Mamba with Effective Long-Sequence Modeling.

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CoRR, 2024

EAGLE: Elevating Geometric Reasoning through LLM-empowered Visual Instruction Tuning.

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CoRR, 2024

SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models.

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CoRR, 2024

Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs.

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CoRR, 2024

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study.

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Caishuang Huang

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CoRR, 2024

LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation.

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CoRR, 2024

Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration.

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CoRR, 2024

Unraveling the Mystery of Scaling Laws: Part I.

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CoRR, 2024

What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation.

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CoRR, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.

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CoRR, 2024

FIRP: Faster LLM Inference via Future Intermediate Representation Prediction.

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Proceedings of the Natural Language Processing and Chinese Computing, 2024

Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs.

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Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data.

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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation.

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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal.

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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection.

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Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.

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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Learning or Self-aligning? Rethinking Instruction Fine-tuning.

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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism.

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Proceedings of the Findings of the Association for Computational Linguistics, 2024

Graph-Structured Speculative Decoding.

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Proceedings of the Findings of the Association for Computational Linguistics, 2024

What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.

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Ran Lucien Wang

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CoRR, 2023

Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels.

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Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Progressive Event Alignment Network for Partial Relevant Video Retrieval.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT.

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Input-label Mapping with Demonstration Replay for In-context Learning.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Dialogue Topic Segmentation via Parallel Extraction Network with Neighbor Smoothing.

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Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Structure-Aware Semantic-Aligned Network for Universal Cross-Domain Retrieval.

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Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Instance-Level Semantic Alignment for Zero-Shot Cross-Modal Retrieval.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

GTLR: Graph-Based Transformer with Language Reconstruction for Video Paragraph Grounding.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Deep Graph Mutual Learning for Cross-domain Recommendation.

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Proceedings of the Database Systems for Advanced Applications, 2022

Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss.

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Distant Supervision based Machine Reading Comprehension for Extractive Summarization in Customer Service.

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Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks.

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Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Density-Based Dynamic Curriculum Learning for Intent Detection.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding.

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Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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