Improving GenIR Systems Based on User Feedback | Paper Citation Record

Observation 064a4161-b66a-4dae-ad65-6d818b01936e · outbound

This paper cites Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models.

Improving GenIR Systems Based on User Feedback Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models

Reference 1

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Observation cecdfe4b-f75b-4f24-84a7-ef76658258d4 · outbound

This paper cites In: Proceedings of the 17th ACM Conference on Recommender Systems, pp.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 17th ACM Conference on Recommender Systems, pp

Reference 2

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This paper cites Is ChatGPT a Good Recommender? A Preliminary Study.

Improving GenIR Systems Based on User Feedback Is ChatGPT a Good Recommender? A Preliminary Study

Reference 3

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This paper cites Zero-Shot Next-Item Recommendation using Large Pretrained Language Models.

Improving GenIR Systems Based on User Feedback Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 4

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This paper cites In: Proceedings of the 16th ACM Conference on Recommender Systems, pp.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 16th ACM Conference on Recommender Systems, pp

Reference 5

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Observation 32a583e5-7f02-4fcc-a927-7d7b9e18834e · outbound

This paper cites In: European Conference on Information Retrieval, pp.

Improving GenIR Systems Based on User Feedback In: European Conference on Information Retrieval, pp

Reference 6

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This paper cites Advances in Neural Information Processing Systems 36 (2024).

Improving GenIR Systems Based on User Feedback Advances in Neural Information Processing Systems 36 (2024)

Reference 7

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This paper cites In: Proceedings of the 31st ACM International Conference on Multimedia, pp.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 31st ACM International Conference on Multimedia, pp

Reference 8

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This paper cites LLaRA: Large Language-Recommendation Assistant.

Improving GenIR Systems Based on User Feedback LLaRA: Large Language-Recommendation Assistant

Reference 9

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Observation 9b987a4e-8568-4ff9-a8d4-24e030f3333b · outbound

This paper cites arXiv preprint arXiv:2401.13870 (2024).

Improving GenIR Systems Based on User Feedback arXiv preprint arXiv:2401.13870 (2024)

Reference 10

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Observation 70ea7ad9-2b71-4b2a-87ac-6c090ecdef32 · outbound

This paper cites Generative Sequential Recommendation with GPTRec.

Improving GenIR Systems Based on User Feedback Generative Sequential Recommendation with GPTRec

Reference 11

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This paper cites Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach.

Improving GenIR Systems Based on User Feedback Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 12

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Observation 5fa481aa-06c3-4ae1-923c-50942b04789d · outbound

This paper cites On Generative Agents in Recommendation.

Improving GenIR Systems Based on User Feedback On Generative Agents in Recommendation

Reference 13

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Observation b2c299c4-9ff8-4e0a-92cb-02b9a4c6e0d9 · outbound

This paper cites Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.

Improving GenIR Systems Based on User Feedback Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 14

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Observation c257d50f-498b-40f1-9e24-9c8db7411c3c · outbound

This paper cites RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework with LLM Agents.

Improving GenIR Systems Based on User Feedback RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework with LLM Agents

Reference 15

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Observation a049a1bc-7d4e-41fc-a217-adaed557af8a · outbound

This paper cites User Behavior Simulation with Large Language Model based Agents.

Improving GenIR Systems Based on User Feedback User Behavior Simulation with Large Language Model based Agents

Reference 16

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This paper cites RecMind: Large Language Model Powered Agent For Recommendation.

Improving GenIR Systems Based on User Feedback RecMind: Large Language Model Powered Agent For Recommendation

Reference 17

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Improving GenIR Systems Based on User Feedback Unresolved cited work

Reference 18

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This paper cites In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

Improving GenIR Systems Based on User Feedback In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

Reference 19

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Improving GenIR Systems Based on User Feedback Unresolved cited work

Reference 20

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This paper cites In: Burges, C.J., Bottou, L., Welling, M., Ghahramani, Z., Weinberger, K.Q.

Improving GenIR Systems Based on User Feedback In: Burges, C.J., Bottou, L., Welling, M., Ghahramani, Z., Weinberger, K.Q

Reference 21

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This paper cites In: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.

Improving GenIR Systems Based on User Feedback In: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp

Reference 22

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This paper cites In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

Improving GenIR Systems Based on User Feedback In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

Reference 23

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Improving GenIR Systems Based on User Feedback Unresolved cited work

Reference 24

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Improving GenIR Systems Based on User Feedback Unresolved cited work

Reference 25

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Improving GenIR Systems Based on User Feedback Unresolved cited work

Reference 26

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This paper cites Accessed 2024-02-19.

Improving GenIR Systems Based on User Feedback Accessed 2024-02-19

Reference 27

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Improving GenIR Systems Based on User Feedback Unresolved cited work

Reference 28

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This paper cites In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A.

Improving GenIR Systems Based on User Feedback In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A

Reference 29

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This paper cites SIGKDD Explor.

Improving GenIR Systems Based on User Feedback SIGKDD Explor

Reference 30

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This paper cites In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management

Reference 31

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Improving GenIR Systems Based on User Feedback Unresolved cited work

Reference 32

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Improving GenIR Systems Based on User Feedback In: Proceedings of the 19th International Conference on World Wide Web

Reference 33

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Improving GenIR Systems Based on User Feedback In: Boughanem, M., Berrut, C., Mothe, J., Soule-Dupuy, C

Reference 34

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This paper cites In: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining.

Improving GenIR Systems Based on User Feedback In: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining

Reference 35

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Improving GenIR Systems Based on User Feedback midterm elections

Reference 36

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This paper cites Proceedings of the National Academy of Sciences 112(33), 4512–4521 (2015) https://doi.org/10.1073/pnas.

Improving GenIR Systems Based on User Feedback Proceedings of the National Academy of Sciences 112(33), 4512–4521 (2015) https://doi.org/10.1073/pnas

Reference 37

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Improving GenIR Systems Based on User Feedback ACM Trans

Reference 38

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Improving GenIR Systems Based on User Feedback In: Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management

Reference 39

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Improving GenIR Systems Based on User Feedback In: Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval

Reference 40

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Improving GenIR Systems Based on User Feedback In: Proceedings of the 47th International ACM SIGIR Con- ference on Research and Development in Information Retrieval

Reference 41

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Improving GenIR Systems Based on User Feedback Unresolved cited work

Reference 43

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Improving GenIR Systems Based on User Feedback Unresolved cited work

Reference 44

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Improving GenIR Systems Based on User Feedback Unresolved cited work

Reference 45

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This paper cites Foundations and Trends® in Information Retrieval 3(3), 225–331 (2009) https://doi.org/10.1561/ 1500000016.

Improving GenIR Systems Based on User Feedback Foundations and Trends® in Information Retrieval 3(3), 225–331 (2009) https://doi.org/10.1561/ 1500000016

Reference 46

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Improving GenIR Systems Based on User Feedback In: Proceed- ings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval

Reference 47

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Reference 48

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Improving GenIR Systems Based on User Feedback In: Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S

Reference 49

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Improving GenIR Systems Based on User Feedback Unresolved cited work

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Improving GenIR Systems Based on User Feedback Unresolved cited work

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Improving GenIR Systems Based on User Feedback In: Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:28.104506Z

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Improving GenIR Systems Based on User Feedback Unresolved cited work

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Improving GenIR Systems Based on User Feedback Unresolved cited work

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Improving GenIR Systems Based on User Feedback Unresolved cited work

Reference 55

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This paper cites In: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management

Reference 56

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This paper cites In: Proceedings of the 22nd International Conference on Machine Learning, pp.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 22nd International Conference on Machine Learning, pp

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:28.035982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84db6b86-2b67-45d8-87c4-2d49a2d28472 · outbound

This paper cites In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval.

Improving GenIR Systems Based on User Feedback In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.624296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e8e852-d33e-4c70-aac2-c9cf82f56f74 · outbound

This paper cites In: Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, pp.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, pp

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:28.016424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 269379cc-58cf-43b5-8aef-84a521fc752f · outbound

This paper cites In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:27.999719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cfb4c531-4c58-4834-92b4-5c8d7b1eb85c · outbound

This paper cites Springer, ??? (2022).

Improving GenIR Systems Based on User Feedback Springer, ??? (2022)

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:27.982709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc886e83-9744-4ec1-8115-05f717f78d1e · outbound

This paper cites In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.645901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a250fe50-2bd8-43b6-bffe-3ecb0ed2866c · outbound

This paper cites In: Database Systems for Advanced Applications.

Improving GenIR Systems Based on User Feedback In: Database Systems for Advanced Applications

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:27.966201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 082ce740-196a-40c6-be99-5b6059cc09c0 · outbound

This paper cites CIKM ’08, pp.

Improving GenIR Systems Based on User Feedback CIKM ’08, pp

Reference 64

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:06:26.490900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15df9ed7-91a5-4aa3-b9b8-9195b4347e09 · outbound

This paper cites In: Proceedings of the 15th International Conference on 23 Intelligent User Interfaces.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 15th International Conference on 23 Intelligent User Interfaces

Reference 65

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:06:26.406100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f666be2d-d1d2-4f14-9136-21f5f4fbaeaa · outbound

This paper cites Egyptian informatics journal 16(3), 261–273 (2015).

Improving GenIR Systems Based on User Feedback Egyptian informatics journal 16(3), 261–273 (2015)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:27.949246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db9dfb97-f1bd-4077-a465-5dcd1204577a · outbound

This paper cites In: Proceedings of the 15th International Conference on World Wide Web, pp.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 15th International Conference on World Wide Web, pp

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:27.932351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77fad836-e9b9-4fcc-9b92-d39f61c4eda4 · outbound

This paper cites In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.677844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04fbed21-49fe-48ed-94bd-5acaa58f0a04 · outbound

This paper cites A Survey on Large Language Models for Recommendation.

Improving GenIR Systems Based on User Feedback A Survey on Large Language Models for Recommendation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.682843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544cd016-452c-479a-b6e8-ef3b7aca7211 · outbound

This paper cites Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism.

Improving GenIR Systems Based on User Feedback Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.688741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a0ae90e-abea-4cc7-ab10-f80521d2cdd0 · outbound

This paper cites A Survey on Large Language Model based Autonomous Agents.

Improving GenIR Systems Based on User Feedback A Survey on Large Language Model based Autonomous Agents

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.694208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d443beb2-f5ac-4976-ae17-4477aaa9e33b · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).

Improving GenIR Systems Based on User Feedback IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:27.915025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6e0105fe-5b32-4d63-87ff-4e2c605f5584 · outbound

This paper cites In: Proceedings of the 18th International Conference on World Wide Web, pp.

Improving GenIR Systems Based on User Feedback In: Proceedings of the 18th International Conference on World Wide Web, pp

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:27.898050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 14f05345-aadb-40af-b7ae-9777c72fe4de · outbound

This paper cites 73–82 (2008).

Improving GenIR Systems Based on User Feedback 73–82 (2008)

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:27.880240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 908fbb56-e647-4d9e-b4a9-0412f9ed0cc8 · outbound

This paper cites Continual Learning for Large Language Models: A Survey.

Improving GenIR Systems Based on User Feedback Continual Learning for Large Language Models: A Survey

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.840198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3566798-edf3-4093-8407-d2357e65560f · outbound

This paper cites Continual Learning of Large Language Models: A Comprehensive Survey.

Improving GenIR Systems Based on User Feedback Continual Learning of Large Language Models: A Comprehensive Survey

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.847908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96537fd3-d7b5-4a07-a711-39029b6f5a11 · outbound

This paper cites In: Bouamor, H., Pino, J., Bali, K.

Improving GenIR Systems Based on User Feedback In: Bouamor, H., Pino, J., Bali, K

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:27.861424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10022798-2bf5-487d-976c-64b510c9d804 · outbound

This paper cites In: Bouamor, H., Pino, J., Bali, K.

Improving GenIR Systems Based on User Feedback In: Bouamor, H., Pino, J., Bali, K

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:27.843410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 66b72c5c-12eb-470c-b8ff-229b99dbe817 · outbound

This paper cites Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation.

Improving GenIR Systems Based on User Feedback Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.864995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba960096-c592-4806-8a26-7a08a75b1d41 · outbound

This paper cites an unresolved cited work.

Improving GenIR Systems Based on User Feedback Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:06:27.825886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4d773bc-44de-444b-b0c7-7e32841d7d93 · outbound

This paper cites Large Language Models for Generative Recommendation: A Survey and Visionary Discussions.

Improving GenIR Systems Based on User Feedback Large Language Models for Generative Recommendation: A Survey and Visionary Discussions

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.875943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6903b61b-88fa-45c1-adb4-c855e58ca4f3 · outbound

This paper cites Precise Zero-Shot Dense Retrieval without Relevance Labels.

Improving GenIR Systems Based on User Feedback Precise Zero-Shot Dense Retrieval without Relevance Labels

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.881803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e860a9a-2d98-4b42-8365-1a07af81fbe9 · outbound

This paper cites In: 11th International Conference on Learning Representations, ICLR 2023 (2023).

Improving GenIR Systems Based on User Feedback In: 11th International Conference on Learning Representations, ICLR 2023 (2023)

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:27.807959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 88f26b72-7060-4fd9-8d1f-73819fa2b589 · outbound

This paper cites Advances in neural information processing systems (2020) 25.

Improving GenIR Systems Based on User Feedback Advances in neural information processing systems (2020) 25

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:27.789216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3dcf91ad-b46c-4cac-a8b5-5fb9b36bc271 · outbound

This paper cites https: //doi.org/10.1145/2348283.2348312.

Improving GenIR Systems Based on User Feedback https: //doi.org/10.1145/2348283.2348312

Reference 194

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.528415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers