Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach | Paper Citation Record

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Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Unresolved cited work

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Observation d0c8092c-bc3d-434b-9676-5e493981ffce · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Neural Machine Translation by Jointly Learning to Align and Translate

Reference 2

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Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Unresolved cited work

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This paper cites In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H

Reference 4

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This paper cites In: Goldberg, Y., Kozareva, Z., Zhang, Y.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Goldberg, Y., Kozareva, Z., Zhang, Y

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.720918Z

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This paper cites In: Burstein, J., Doran, C., Solorio, T.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Burstein, J., Doran, C., Solorio, T

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.709550Z

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This paper cites In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Compu- tational Linguistics: Human Language Technologies.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Compu- tational Linguistics: Human Language Technologies

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.686519Z

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This paper cites In: International conference on machine learning for cyber security.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: International conference on machine learning for cyber security

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.674955Z

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This paper cites In: Inter- national conference on natural language processing and knowledge engineering,.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Inter- national conference on natural language processing and knowledge engineering,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.664082Z

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This paper cites In: Gurevych, I., Miyao, Y.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Gurevych, I., Miyao, Y

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.639216Z

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This paper cites IEEE Transactions on Neural Networks and Learning Systems 32(10), 4291–4308 (Oct 2021) 22.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach IEEE Transactions on Neural Networks and Learning Systems 32(10), 4291–4308 (Oct 2021) 22

Reference 11

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This paper cites In: Proceedings of the 2020 Conference on Empirical Methods in Nat- ural Language Processing (EMNLP).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings of the 2020 Conference on Empirical Methods in Nat- ural Language Processing (EMNLP)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.615993Z

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This paper cites ACM Computing Surveys 55(14s), 1–39 (2023).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach ACM Computing Surveys 55(14s), 1–39 (2023)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.603732Z

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This paper cites In: Carpuat, M., de Marneffe, M.C., Meza Ruiz, I.V.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Carpuat, M., de Marneffe, M.C., Meza Ruiz, I.V

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.591166Z

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Observation f6f4c8f1-a924-4f75-96ac-ba3088f8974e · outbound

This paper cites Security and Privacy5(3), e209 (2022).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Security and Privacy5(3), e209 (2022)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.578033Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites In: Walker, M., Ji, H., Stent, A.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Walker, M., Ji, H., Stent, A

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.566501Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fb217290-e894-416b-b000-292edf6b2f4e · outbound

This paper cites In: Palmer, M., Hwa, R., Riedel, S.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Palmer, M., Hwa, R., Riedel, S

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.555124Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e9fdd80-3a7f-4f18-b121-01dcf88144f3 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence 34(05), 8018–8025 (Apr 2020).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Proceedings of the AAAI Conference on Artificial Intelligence 34(05), 8018–8025 (Apr 2020)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.543539Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06388442-80c6-4545-a0f7-94264ad0acd5 · outbound

This paper cites Applied Sciences 11(14), 6421 (2021).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Applied Sciences 11(14), 6421 (2021)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.532389Z

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Observation e22c0786-13e8-4c26-b410-d1fcaf7d6d48 · outbound

This paper cites (eds.) Proceedings of the 22nd Conference on Computational Natural Language Learning.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach (eds.) Proceedings of the 22nd Conference on Computational Natural Language Learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.521930Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites In: Cohn, T., He, Y., Liu, Y.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Cohn, T., He, Y., Liu, Y

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.510846Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72d9f1f8-d5c3-4dbe-98a9-267f0fd37792 · outbound

This paper cites Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c49c8461-ef31-42f3-b29d-d69927add237 · outbound

This paper cites In: Proceedings of the 2017 Conference on Designing Interactive Systems.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings of the 2017 Conference on Designing Interactive Systems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.499387Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation afd8b930-8a61-4a24-8580-ab6a7943b4c3 · outbound

This paper cites In: Webber, B., Cohn, T., He, Y., Liu, Y.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Webber, B., Cohn, T., He, Y., Liu, Y

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.488144Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b1e1a5b-cdce-4064-965c-0f0b856aa660 · outbound

This paper cites Transac- tions of the Association for Computational Linguistics 6, 317–328 (2018).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Transac- tions of the Association for Computational Linguistics 6, 317–328 (2018)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.477072Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea3143af-f3f8-4782-a839-5340f2d240e7 · outbound

This paper cites In: International Conference on Learning Representations (2020).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: International Conference on Learning Representations (2020)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.465172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf51b692-bf2f-4479-a874-a9d7eca25a72 · outbound

This paper cites In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.451591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ddc15445-a315-42cb-83cd-dbd38802c184 · outbound

This paper cites In: Toutanova, K., Rumshisky, A., Zettlemoyer, L., Hakkani-Tur, D., Beltagy, I., Bethard, S., Cot- terell, R., Chakraborty, T., Zhou, Y.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Toutanova, K., Rumshisky, A., Zettlemoyer, L., Hakkani-Tur, D., Beltagy, I., Bethard, S., Cot- terell, R., Chakraborty, T., Zhou, Y

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.438495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f58015ef-77d6-4307-bc54-9e83c0c84a0a · outbound

This paper cites In: Proceedings 2019 Network and Distributed System Security Symposium.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings 2019 Network and Distributed System Security Symposium

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.425842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c8014b92-cd34-4d81-8eab-86b3e6d1d981 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.413802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9be5b6b9-23f7-41df-96bb-76968c103930 · outbound

This paper cites In: Webber, B., Cohn, T., He, Y., Liu, Y.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Webber, B., Cohn, T., He, Y., Liu, Y

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.401422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1640f6d-6652-4522-ac99-4f6d90d4af65 · outbound

This paper cites In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.389440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd7fe3b8-f8c1-4b11-9ba2-ee55cd396a6e · outbound

This paper cites In: Text summarization branches out.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Text summarization branches out

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T21:53:05.752025Z

Source-reported events for the cited work

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Observation 1bc25137-0ff2-4d2c-a980-bfb7f3cf5bf5 · outbound

This paper cites In: M` arquez, L., Callison-Burch, C., Su, J.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: M` arquez, L., Callison-Burch, C., Su, J

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.370040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 006b97ff-631a-4c09-9d2a-f44b6f06ed88 · outbound

This paper cites Computer Science Review 48, 100552 (2023).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Computer Science Review 48, 100552 (2023)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.357200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6931b40-a587-4fa0-8f54-3e0f4ae18a08 · outbound

This paper cites In: Proceedings of the 1st International Conference on Learning Representations (ICLR) (2013).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings of the 1st International Conference on Learning Representations (ICLR) (2013)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.345012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 889d1e17-ce06-4bb7-9c38-c07e5a85436a · outbound

This paper cites In: Speech and Natural Language: Proceedings of a Workshop Held at Harriman, New York, February 23-26, 1992 (1992).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Speech and Natural Language: Proceedings of a Workshop Held at Harriman, New York, February 23-26, 1992 (1992)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.334044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4bbd7c11-6296-49b7-be39-011693ee747e · outbound

This paper cites In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Lin- guistics: Main Volume.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Lin- guistics: Main Volume

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.322534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d8209fa0-a53a-4a57-b2b0-2a3c0e874573 · outbound

This paper cites GRIN Verlag (2003).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach GRIN Verlag (2003)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.311093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 64e7cb10-1bd4-408f-995a-13e3693d4dd0 · outbound

This paper cites In: 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.298879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4df199e5-3a54-4c43-8767-5e737297ae77 · outbound

This paper cites In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics

Reference 41

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Source-reported events for the cited work

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Observation 5c93deb3-ea43-4a6e-90cb-de48cfa3677a · outbound

This paper cites OpenAI blog 1(8), 9 (2019).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach OpenAI blog 1(8), 9 (2019)

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T21:53:05.783904Z

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Unavailable: canonical work link unavailable.

Observation ce4a7af2-7773-4435-ba2e-d3e2e8e9581d · outbound

This paper cites Journal of machine learning research 21(140), 1–67 (2020).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Journal of machine learning research 21(140), 1–67 (2020)

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T21:53:05.787303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ef003b1-8d3d-4e65-b4f1-48dbc601834f · outbound

This paper cites In: Gurevych, I., Miyao, Y.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Gurevych, I., Miyao, Y

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.266574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3deea6ae-1f4a-4313-a396-883f74c1bbd4 · outbound

This paper cites In: Su, J., Duh, K., Carreras, X.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Su, J., Duh, K., Carreras, X

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.255333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc35f6d3-ef32-41ff-92d3-e2c6fc720db9 · outbound

This paper cites In: Korhonen, A., Traum, D., M` arquez, L.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Korhonen, A., Traum, D., M` arquez, L

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.244198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75c69e6f-6331-49b4-8431-88687cd63ba5 · outbound

This paper cites Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T21:53:05.948124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e77bc48e-fb63-4641-9201-035b284ab244 · outbound

This paper cites In: Proceedings of the 5th Work- shop on Energy Efficient Machine Learning and Cognitive Computing.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings of the 5th Work- shop on Energy Efficient Machine Learning and Cognitive Computing

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.232925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5bf7a221-e66c-4469-bfbc-20811a062789 · outbound

This paper cites In: Proceedings of the Workshop on Knowledge Augmented Methods for NLP (KnowledgeNLP) at AAAI 2023 (2023).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings of the Workshop on Knowledge Augmented Methods for NLP (KnowledgeNLP) at AAAI 2023 (2023)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.221822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f636f1b-8379-4066-93e5-8e29aae573b1 · outbound

This paper cites Journal of King Saud University-Computer and Information Sciences 32(6), 635–646 (2020).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Journal of King Saud University-Computer and Information Sciences 32(6), 635–646 (2020)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.210717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9bb41dca-53cd-4b9c-8d27-0ac6d6cd5c04 · outbound

This paper cites Advances in Neural Information Processing Systems 33, 3008–3021 (2020).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Advances in Neural Information Processing Systems 33, 3008–3021 (2020)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.198833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6562c45c-4652-4ac5-9616-2eb57a26bf42 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering 35(4), 3367–3388 (2021).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach IEEE Transactions on Knowledge and Data Engineering 35(4), 3367–3388 (2021)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.187195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 022300a5-4373-4bf4-84d2-319d2e1f320a · outbound

This paper cites In: Korhonen, A., Traum, D., M` arquez, L.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Korhonen, A., Traum, D., M` arquez, L

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.175479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 63102dbb-7e22-4910-a147-de94f44de690 · outbound

This paper cites In: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.164363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94049d9d-f02c-4588-9e1e-3754456a02e4 · outbound

This paper cites In: Blunsom, P., Bordes, A., Cho, K., Cohen, S., Dyer, C., Grefenstette, E., Hermann, K.M., Rimell, L., Weston, J., Yih, S.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Blunsom, P., Bordes, A., Cho, K., Cohen, S., Dyer, C., Grefenstette, E., Hermann, K.M., Rimell, L., Weston, J., Yih, S

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.152003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 38123b2b-fe69-42db-b5c4-6724a183f117 · outbound

This paper cites In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.139141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93526147-b2f4-40da-928d-90524865c749 · outbound

This paper cites Transactions of the Association for Computational Linguistics 7, 387–401 (2019).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Transactions of the Association for Computational Linguistics 7, 387–401 (2019)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.115601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a2553c7d-07a8-4319-b165-7962e8f1df15 · outbound

This paper cites In: Webber, B., Cohn, 26 T., He, Y., Liu, Y.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Webber, B., Cohn, 26 T., He, Y., Liu, Y

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.103475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86850ca1-4843-4842-b521-a9bfa419eb70 · outbound

This paper cites Modern Question Answering Datasets and Benchmarks: A Survey.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Modern Question Answering Datasets and Benchmarks: A Survey

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T21:53:05.847082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad46984f-17eb-479d-9773-91ab60e1b969 · outbound

This paper cites an unresolved cited work.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:53:06.092010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c107b0f8-9369-45ce-b255-28f551dc798c · outbound

This paper cites In: International conference on machine learning.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: International conference on machine learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T21:53:05.854617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a9f2ad2-1286-43f1-9379-1126d43a14b7 · outbound

This paper cites IEEE Internet of Things Journal 8(6), 4980–4990 (2020).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach IEEE Internet of Things Journal 8(6), 4980–4990 (2020)

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.073041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09933176-987c-4643-bbef-dec138208a02 · outbound

This paper cites In: Walker, M., Ji, H., Stent, A.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Walker, M., Ji, H., Stent, A

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.061154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9aa9af5-71d2-4b22-9413-fcf744d5a400 · outbound

This paper cites Knowledge and Information Systems 66, 7165–7204 (2024).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Knowledge and Information Systems 66, 7165–7204 (2024)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.049309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b8bbfde-f4aa-415e-b2ff-b33bfb47ddcb · outbound

This paper cites In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.036005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6535cc4c-760b-456b-bb82-71529450a93f · outbound

This paper cites In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.024249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c8ccbc21-9bba-45b2-a0da-09593bbfd95e · outbound

This paper cites Computational Linguistics 49(2), 395–427 (jun 2023).

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Computational Linguistics 49(2), 395–427 (jun 2023)

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.012663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7cb9d81b-3cbd-4abf-886e-ff375d9429db · outbound

This paper cites In: International conference on machine learning.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: International conference on machine learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:06.000165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec4bc0e2-c0d2-44de-b0cc-2010caa8c2b6 · outbound

This paper cites Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T21:53:05.883600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7118e685-7f3f-4674-880e-466ff5d01011 · outbound

This paper cites In: Li, S., Sun, M., Liu, Y., Wu, H., Liu, K., Che, W., He, S., Rao, G.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach In: Li, S., Sun, M., Liu, Y., Wu, H., Liu, K., Che, W., He, S., Rao, G

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:53:05.988785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 357460dc-2f02-4915-92a0-558959b7c1cd · outbound

This paper cites an unresolved cited work.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Unresolved cited work

Reference 2003

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:53:06.652281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e48a468-416f-495a-be49-68780e35bc6a · outbound

This paper cites an unresolved cited work.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Unresolved cited work

Reference 2162

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:53:06.127372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 43b1fa60-a7cd-41a2-8898-9dbcd1898b67 · outbound

This paper cites an unresolved cited work.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Unresolved cited work

Reference 2936

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:53:06.697862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers