Qingxiu Dong

According to our database1, Qingxiu Dong authored at least 29 papers between 2021 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Towards Optimal Learning of Language Models.
CoRR, 2024

PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization.
CoRR, 2024

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.
CoRR, 2024

Can Large Multimodal Models Uncover Deep Semantics Behind Images?
CoRR, 2024

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding.
CoRR, 2024

Further Explanations on "SAT Requires Exhaustive Search".
CoRR, 2024

2023
Large Language Model for Science: A Study on P vs. NP.
CoRR, 2023

Extrapolating Large Language Models to Non-English by Aligning Languages.
CoRR, 2023

ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories.
CoRR, 2023

Statistical Knowledge Assessment for Generative Language Models.
CoRR, 2023

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis.
CoRR, 2023

A Challenging Benchmark for Low-Resource Learning.
CoRR, 2023

A Survey for In-context Learning.
CoRR, 2023

Neural Knowledge Bank for Pretrained Transformers.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Statistical Knowledge Assessment for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can We Edit Factual Knowledge by In-Context Learning?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Can Language Models Understand Physical Concepts?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models.
CoRR, 2022

Statistical Dataset Evaluation: Reliability, Difficulty, and Validity.
CoRR, 2022

Calibrating Factual Knowledge in Pretrained Language Models.
CoRR, 2022

Neural Knowledge Bank for Pretrained Transformers.
CoRR, 2022

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Calibrating Factual Knowledge in Pretrained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues.
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

Premise-based Multimodal Reasoning: A Human-like Cognitive Process.
CoRR, 2021

Problems and Countermeasures in Natural Language Processing Evaluation.
CoRR, 2021

ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021


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