Abigail See
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Speech and dialogue systems, AI in Service Interactions, Speech Recognition and Synthesis
Most-Cited Works
- → Get To The Point: Summarization with Pointer-Generator Networks(2017)3,835 cited
- → What makes a good conversation? How controllable attributes affect human judgments(2019)232 cited
- → Improving alignment of dialogue agents via targeted human judgements(2022)131 cited
- → Collaboration between clinicians and vision–language models in radiology report generation(2024)114 cited
- → Ramsey vs. Lexicographic Termination Proving(2013)89 cited
- → Scalable watermarking for identifying large language model outputs(2024)76 cited
- → Compression of Neural Machine Translation Models via Pruning(2016)50 cited
- → Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations(2020)25 cited