Reading Group
Reading List 2022
| Title | Date | Time | Presentor | Resource |
|---|---|---|---|---|
| CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior | 2022/9/14 | 2:00-3:00pm | Hongliang Li | |
| Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems | 2022/9/21 | 2:00-3:00pm | Chiyu Song | |
| CausaLM: Causal Model Explanation through Counterfactual Language Models | 2022/9/29 | 3:30-4:30pm | Linyi Yang | |
| AI and the Everything in the Whole Wide World Benchmark | 2022/9/29 | 3:30-4:30pm | Naihao Deng | |
| Bias Mitigation in Machine Translation Quality Estimation | 2022/10/10 | 1:30-2:30pm | Yafu Li | |
| Discussion for AI and the Everything in the Whole Wide World Benchmark | 2022/10/10 | 2:00-3:00pm | ||
| TableFormer: Robust Transformer Modeling for Table-Text Encoding | 2022/10/19 | 2:00-3:00pm | Naihao Deng | [Github] |
| Self-explaining deep models with logic rule reasoning | 2022/10/26 | 2:00-4:00pm | Linyi Yang | [Microsoft Research] [Code] |
| Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation | 2022/10/26 | 2:00-4:00pm | Jianhao Yan | |
| Better Language Model with Hypernym Class Prediction | 2022/10/26 | 2:00-4:00pm | Guangsheng Bao | |
| Open Domain Question Answering with A Unified Knowledge Interface | 2022/11/2 | 2:00-4:00pm | Cunxiang Wang and Naihao Deng | |
| History of Philosophy of Language: Does There Exist a Parallelism to the History of NLP | 2022/11/9 | 2:00-3:00pm | Ruoxi Ning | |
| Meta-learning via Language Model In-context Tuning | 2022/11/16 | 2:00-4:00pm | Naihao Deng | |
| Consensuses and disagreements in the in-context learning studies | 2022/11/23 | 2:00-3:00pm | Hongliang Li | |
| 2022/11/30 | 2:00-3:00pm | |||
| MACSUM: Controllable Summarization with Mixed Attributes | 2022/12/7 | 2:00-4:00pm | Yulong | |
| Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks | 2022/12/7 | 2:00-4:00pm | Xuefeng | |
| A Meta-framework for Spatiotemporal Quantity Extraction from Text | 2022/12/7 | 2:00-4:00pm | Fang | |
| BRIO: Bringing Order to Abstractive Summarization | 2022/12/14 | 2:00-4:00pm | Guangsheng | |
| Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data | 2022/12/14 | 2:00-4:00pm | Cunxiang | |
| 2022/12/21 | 2:00-4:00pm | |||
| 2022/12/21 | 2:00-4:00pm | |||
| 2022/12/28 | 2:00-4:00pm | |||
| 2023/1/11 | 2:00-4:00pm | |||
| 2023/1/11 | 2:00-4:00pm | |||
| 2023/1/18 | 2:00-4:00pm |