Eric Chu

4 papers · 2018–2024 · 4 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🚀 Conference Pioneer

Venues

AACL (1) EMNLP (1) ICML (1) NeurIPS (1)

Top co-authors

Prashanth Vijayaraghavan (2) Deb Roy (2) Hugo Larochelle (1) Bernd Bohnet (1) John D. Co-Reyes (1) Luis Rosias (1) Aleksandra Faust (1) Avi Singh (1) Peter Liu (1) Lei Zhang (1)

Research topics

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

Keywords

unsupervised learning (2) representation learning (1) few-shot learning (1) transfer learning (1) domain adaptation (1) attention mechanism (1) in-context learning (1) prompt engineering (1) chain-of-thought reasoning (1) next-token prediction (1) pre-trained language model (1) memory network (1) external memory (1) abstractive summarization (1) neural model (1) hate speech detection (1) persona representation (1) dialogue representation (1) large language model (1) character classification (1)

Papers

Many-Shot In-Context Learning NeurIPS 2024 DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory AACL 2020 MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization ICML 2019 Learning Personas from Dialogue with Attentive Memory Networks EMNLP 2018