Vaclav Petricek

3 papers · 2022–2024 · 2 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 (11) 🐣 Hot Topic Early Bird

Venues

EMNLP (2) NAACL (1)

Top co-authors

Ashutosh Joshi (2) Julian Katz-Samuels (1) Ismail Tutar (1) Rahul Bhagat (1) Priyanka Nigam (1) Vishy Vishwanathan (1) Trishul Chilimbi (1) Choon Teo (1) Kee Kiat Koo (1) Hyokun Yun (1)

Research topics

Machine Learning (3) Application Areas (2) Core Methods (2) Learning Types · Machine Learning (2) Data Science & Analytics (1) Deep Learning (1) Natural Language Processing (1) Applications (1) Learning Types · Deep Learning (1) Resources & Methods (1)

Keywords

contrastive learning (1) metric learning (1) direct preference optimization (1) knowledge distillation (1) data augmentation (1) instruction following (1) language model alignment (1) query reformulation (1) semantic matching (1) reinforcement learning from human feedback (1) deep metric learning (1) preference data (1) triplet loss (1) extreme multi-label classification (1) large language model (1) product retrieval (1) duplicate detection (1) hierarchical ranking (1) e-commerce search (1) near-duplicate detection (1)

Papers

Evolutionary Contrastive Distillation for Language Model Alignment EMNLP 2024 Deep Metric Learning to Hierarchically Rank - An Application in Product Retrieval EMNLP 2023 Augmenting Training Data for Massive Semantic Matching Models in Low-Traffic E-commerce Stores NAACL 2022