← Authors

Yixin Liu

55 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (92) πŸ”¬ Deep Specialist (13) πŸ‘₯ Mega-Team (77) 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ† Grand Slam ⚑ Prolific Year (17) πŸ”₯ Unstoppable (6) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (234) πŸ’Ž Century Club (52)

Conferences

ACL (12) EMNLP (11) AAAI (10) NAACL (10) ICML (3) CVPR (2) ICLR (2) IJCNLP (2) NIPS (2) ECCV (1)

Top co-authors

Arman Cohan (16) Pengfei Liu (13) Yilun Zhao (12) Dragomir Radev (12) Shirui Pan (9) Lichao Sun (9) Alexander Fabbri (6) Linyong Nan (6) Caiming Xiong (5) Shafiq Joty (5)

Keywords

large language model (12) text summarization (6) abstractive summarization (5) benchmark evaluation (4) graph neural network (4) language model (4) contrastive learning (4) evaluation benchmark (3) mathematical reasoning (3) text generation (3) unsupervised learning (3) graph anomaly detection (2) quality estimation (2) foundation model (2) reference-free evaluation (2) attention mechanism (2) summarization evaluation (2) neural machine translation (2) natural language generation (2) model evaluation (2)

Papers

Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time AAAI 2026
Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions AAAI 2026
Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation AAAI 2026
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding CVPR 2025
A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection AAAI 2025
Evaluating Mathematical Reasoning Beyond Accuracy AAAI 2025
Understanding Reference Policies in Direct Preference Optimization NAACL 2025
Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference NAACL 2025
SCIURus: Shared Circuits for Interpretable Uncertainty Representations in Language Models NAACL 2025
ReIFE: Re-evaluating Instruction-Following Evaluation NAACL 2025
XAttnMark: Learning Robust Audio Watermarking with Cross-Attention ICML 2025
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark ICLR 2025
Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems EMNLP 2025
CourtReasoner: Can LLM Agents Reason Like Judges? EMNLP 2025
AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research ACL 2025
Physics: Benchmarking Foundation Models on University-Level Physics Problem Solving ACL 2025
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning CVPR 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning NIPS 2024
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise AAAI 2024
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection AAAI 2024
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents ACL 2024
Rethinking Efficient Multilingual Text Summarization Meta-Evaluation ACL 2024
EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models ECCV 2024
FOLIO: Natural Language Reasoning with First-Order Logic EMNLP 2024
Calibrating Long-form Generations From Large Language Models EMNLP 2024
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models EMNLP 2024
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use ICLR 2024
Improving Interpretation Faithfulness for Vision Transformers ICML 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
Fair Abstractive Summarization of Diverse Perspectives NAACL 2024
On Learning to Summarize with Large Language Models as References NAACL 2024
On the Role of Summary Content Units in Text Summarization Evaluation NAACL 2024
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization NAACL 2024
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating AAAI 2023
A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization ACL 2023
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation ACL 2023
Towards Self-Interpretable Graph-Level Anomaly Detection NIPS 2023
QTSumm: Query-Focused Summarization over Tabular Data EMNLP 2023
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation EMNLP 2023
Vector-Quantized Prompt Learning for Paraphrase Generation EMNLP 2023
SEAT: Stable and Explainable Attention AAAI 2023
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023
On Improving Summarization Factual Consistency from Natural Language Feedback ACL 2023
R2D2: Robust Data-to-Text with Replacement Detection EMNLP 2022
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code EMNLP 2022
DataLab: A Platform for Data Analysis and Intervention ACL 2022
Leveraging Locality in Abstractive Text Summarization EMNLP 2022
BRIO: Bringing Order to Abstractive Summarization ACL 2022
RefSum: Refactoring Neural Summarization NAACL 2021
ExplainaBoard: An Explainable Leaderboard for NLP ACL 2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization ACL 2021
On Learning Text Style Transfer with Direct Rewards NAACL 2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization IJCNLP 2021
ExplainaBoard: An Explainable Leaderboard for NLP IJCNLP 2021
Training and Inference Methods for High-Coverage Neural Machine Translation ACL 2020