Yixin Liu

ExplainaBoard: An Explainable Leaderboard for NLP

2021 · arXiv (Cornell University)

With the rapid development of NLP research, leaderboards have emerged as one tool to track the performance of various systems on various NLP tasks. They are effective in this goal to some extent, but generally …

Research on Internet of things control system based on EEG signal

2022 · 2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

The brain computer interface technology using EEG signals is widely used in the fields of emotion recognition, state monitoring, medical rehabilitation, etc. The brain computer interface technology which "builds a bridge between the human brain …

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization

2023 · arXiv (Cornell University)

While large language models (LLMs) can already achieve strong performance on standard generic summarization benchmarks, their performance on more complex summarization task settings is less studied. Therefore, we benchmark LLMs on instruction controllable text summarization, …

Towards Stable and Explainable Attention Mechanisms

2025 · IEEE Transactions on Knowledge and Data Engineering

Currently, attention mechanism has become a standard fixture in most state-of-the-art natural language processing (NLP) models, not only due to the outstanding performance it could gain but also due to plausible innate explanations for the …

MSRS: Evaluating Multi-Source Retrieval-Augmented Generation

2025 · arXiv (Cornell University)

Retrieval-augmented systems are typically evaluated in settings where information required to answer the query can be found within a single source or the answer is short-form or factoid-based. However, many real-world applications demand the ability …

BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks

2026

Rui Miao, Yixin Liu, Yili Wang, Xu Shen, Yue Tan, Yiwei Dai, Shirui Pan, Xin Wang. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization

2021

Yixin Liu, Pengfei Liu. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). 2021.