| Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP O Goldman, A Jacovi, A Slobodkin, A Maimon, I Dagan, R Tsarfaty arXiv preprint arXiv:2407.00402, 2024 | | 2024 |
| Identifying User Goals from UI Trajectories O Berkovitch, S Caduri, N Kahlon, A Efros, A Caciularu, I Dagan arXiv preprint arXiv:2406.14314, 2024 | | 2024 |
| The Power of Summary-Source Alignments O Ernst, O Shapira, A Slobodkin, S Adar, M Bansal, J Goldberger, R Levy, ... arXiv preprint arXiv:2406.00842, 2024 | | 2024 |
| Superlatives in Context: Explicit and Implicit Domain Restrictions for Superlative Frames V Pyatkin, B Webber, I Dagan, R Tsarfaty arXiv preprint arXiv:2405.20967, 2024 | | 2024 |
| Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model C Huang, Y Deng, W Lei, J Lv, I Dagan arXiv preprint arXiv:2405.12081, 2024 | | 2024 |
| Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts L Golany, F Galgani, M Mamo, N Parasol, O Vandsburger, N Bar, I Dagan arXiv preprint arXiv:2405.01121, 2024 | | 2024 |
| Attribute First, then Generate: Locally-attributable Grounded Text Generation A Slobodkin, E Hirsch, A Cattan, T Schuster, I Dagan arXiv preprint arXiv:2403.17104, 2024 | 2 | 2024 |
| Multi-Review Fusion-in-Context A Slobodkin, O Shapira, R Levy, I Dagan arXiv preprint arXiv:2403.15351, 2024 | 1 | 2024 |
| The curious case of hallucinatory (un) answerability: Finding truths in the hidden states of over-confident large language models A Slobodkin, O Goldman, A Caciularu, I Dagan, S Ravfogel Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 13 | 2023 |
| OpenAsp: A benchmark for multi-document open aspect-based summarization S Amar, L Schiff, O Ernst, A Shefer, O Shapira, I Dagan Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 7 | 2023 |
| Re-examining summarization evaluation across multiple quality criteria O Ernst, O Shapira, I Dagan, R Levy Findings of the Association for Computational Linguistics: EMNLP 2023, 13829 …, 2023 | 3 | 2023 |
| CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies A Cattan, T Hope, D Downey, R Bar-Haim, L Eden, Y Kantor, I Dagan arXiv preprint arXiv:2311.11301, 2023 | | 2023 |
| Optimizing retrieval-augmented reader models via token elimination M Berchansky, P Izsak, A Caciularu, I Dagan, M Wasserblat arXiv preprint arXiv:2310.13682, 2023 | 4 | 2023 |
| The curious case of hallucinatory unanswerablity: Finding truths in the hidden states of over-confident large language models A Slobodkin, O Goldman, A Caciularu, I Dagan, S Ravfogel arXiv preprint arXiv:2310.11877, 2023 | 1 | 2023 |
| Dont add, dont miss: Effective content preserving generation from pre-selected text spans A Slobodkin, A Caciularu, E Hirsch, I Dagan arXiv preprint arXiv:2310.09017, 2023 | 6 | 2023 |
| Summhelper: Collaborative human-computer summarization A Slobodkin, N Nachum, S Amar, O Shapira, I Dagan arXiv preprint arXiv:2308.08363, 2023 | 3 | 2023 |
| Design choices for crowdsourcing implicit discourse relations: revealing the biases introduced by task design V Pyatkin, F Yung, MCJ Scholman, R Tsarfaty, I Dagan, V Demberg Transactions of the Association for Computational Linguistics 11, 1014-1032, 2023 | 6 | 2023 |
| [TACL] Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases introduced by Task Design V Pyatkin, F Yung, M Scholman, I Dagan, R Tsarfaty, V Demberg The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | | 2023 |
| QA-Adj: Adding Adjectives to QA-based Semantics L Pesahov, A Klein, I Dagan Proceedings of the Fourth International Workshop on Designing Meaning …, 2023 | 2 | 2023 |
| Revisiting Sentence Union Generation as a Testbed for Text Consolidation E Hirsch, V Pyatkin, R Wolhandler, A Caciularu, A Shefer, I Dagan arXiv preprint arXiv:2305.15605, 2023 | 3 | 2023 |
