| Nemotron-4 340B Technical Report B Adler, N Agarwal, A Aithal, DH Anh, P Bhattacharya, A Brundyn, ... arXiv preprint arXiv:2406.11704, 2024 | 66 | 2024 |
| HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM Z Wang, Y Dong, J Zeng, V Adams, MN Sreedhar, D Egert, O Delalleau, ... arXiv preprint arXiv:2311.09528, 2023 | 57 | 2023 |
| HelpSteer2: Open-source dataset for training top-performing reward models Z Wang, Y Dong, O Delalleau, J Zeng, G Shen, D Egert, JJ Zhang, ... arXiv preprint arXiv:2406.08673, 2024 | 56 | 2024 |
| SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF Y Dong, Z Wang, MN Sreedhar, X Wu, O Kuchaiev arXiv preprint arXiv:2310.05344, 2023 | 46 | 2023 |
| Humanoid Agents: Platform for Simulating Human-like Generative Agents Z Wang, YY Chiu, YC Chiu arXiv preprint arXiv:2310.05418, 2023 | 42 | 2023 |
| Author2Vec: A Framework for Generating User Embedding X Wu, W Lin, Z Wang, E Rastorgueva arXiv preprint arXiv:2003.11627, 2020 | 18 | 2020 |
| HelpSteer2-Preference: Complementing Ratings with Preferences Z Wang, A Bukharin, O Delalleau, D Egert, G Shen, J Zeng, O Kuchaiev, ... arXiv preprint arXiv:2410.01257, 2024 | 17 | 2024 |
| Extracting and Inferring Personal Attributes from Dialogue Z Wang, X Zhou, R Koncel-Kedziorski, A Marin, F Xia arXiv preprint arXiv:2109.12702, 2021 | 16 | 2021 |
| FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering W Lin, Z Wang, B Byrne arXiv preprint arXiv:2303.10699, 2023 | 6 | 2023 |
| Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021 K Balog, P Mirza, MG Skjæveland, Z Wang ACM SIGIR Forum 56 (1), 1-11, 2023 | 6 | 2023 |
| Uncovering Surprising Event Boundaries in Narratives Z Wang, A Jafarpour, M Sap Proceedings of the 4th Workshop of Narrative Understanding (WNU2022), 1-12, 2022 | 6 | 2022 |
| Transformer-Empowered Content-Aware Collaborative Filtering W Lin, L Shou, M Gong, P Jian, Z Wang, B Byrne, D Jiang arXiv preprint arXiv:2204.00849, 2022 | 6 | 2022 |
| Diverging Preferences: When do Annotators Disagree and do Models Know? MJQ Zhang, Z Wang, JD Hwang, Y Dong, O Delalleau, Y Choi, E Choi, ... arXiv preprint arXiv:2410.14632, 2024 | 5 | 2024 |
| Data, Data Everywhere: A Guide for Pretraining Dataset Construction J Parmar, S Prabhumoye, J Jennings, B Liu, A Jhunjhunwala, Z Wang, ... arXiv preprint arXiv:2407.06380, 2024 | 5 | 2024 |
| How to be Helpful on Online Support Forums? Z Wang, PE Torres Proceedings of the 4th Workshop of Narrative Understanding (WNU2022), 20-28, 2022 | 4 | 2022 |
| No, you’re not alone: A better way to find people with similar experiences on Reddit Z Wang, E Rastorgueva, W Lin, X Wu Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019 …, 2019 | 4 | 2019 |
| Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. W Lin, L Shou, M Gong, J Pei, Z Wang, B Byrne, D Jiang KaRS@ RecSys, 45-52, 2022 | 2 | 2022 |
| NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment G Shen, Z Wang, O Delalleau, J Zeng, Y Dong, D Egert, S Sun, J Zhang, ... arXiv preprint arXiv:2405.01481, 2024 | 1 | 2024 |
| Learning Similarity between Movie Characters and Its Potential Implications on Understanding Human Experiences Z Wang, W Lin, X Wu Proceedings of the Third Workshop on Narrative Understanding, 24-35, 2021 | 1 | 2021 |
Weizhe LinUniversity of CambridgePotvrđena adresa e-pošte na cam.ac.uk