Abe Hou

4 papers · 2024–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) ❓ The Questioner

Venues

ACL (2) EMNLP (1) NAACL (1)

Top co-authors

Tianxing He (3) Yichen Wang (3) Benjamin Van Durme (2) Yulia Tsvetkov (2) Daniel Khashabi (2) Jingyu Zhang (2) Nils Holzenberger (1) Chao Shen (1) Lingfeng Shen (1) William Jurayj (1)

Research topics

Artificial Intelligence (4) Core AI (4) Machine Learning (3) Natural Language Processing (3) Deep Learning (2) Application Areas (2) Applications (2) Learning Types · Deep Learning (2) Core Methods (1) Generation (1) Learning Types · Machine Learning (1)

Keywords

machine-generated text detection (2) locality sensitive hashing (2) semantic watermark (2) k-means clustering (1) text generation (1) fine-grained classification (1) semantic representation (1) hallucination detection (1) clustering method (1) sentence embedding (1) adversarial learning (1) automatic evaluation (1) robustness testing (1) text paraphrasing (1) stress testing (1) text evaluation (1) paraphrase attack (1) machine-generated text (1) legal analysis (1) large language model (1)

Papers

Gaps or Hallucinations? Scrutinizing Machine-Generated Legal Analysis for Fine-grained Text Evaluations EMNLP 2024 k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text ACL 2024 SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation NAACL 2024 Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks ACL 2024