E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment | Paper Citation Record

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This paper cites Proceedings of the 28th ACM International Conference on Multimedia (ACM MM) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the 28th ACM International Conference on Multimedia (ACM MM) , pages=

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This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL) , pages=

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This paper cites Proceedings of the IEEE/CVF international conference on computer vision (ICCV) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the IEEE/CVF international conference on computer vision (ICCV) , pages=

Reference 3

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This paper cites Proceedings of the 30th ACM International Conference on Multimedia (ACM MM) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the 30th ACM International Conference on Multimedia (ACM MM) , pages=

Reference 4

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This paper cites IEEE Transactions on Affective Computing (TAFFC) , volume=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment IEEE Transactions on Affective Computing (TAFFC) , volume=

Reference 5

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This paper cites Proceedings of the AAAI conference on artificial intelligence (AAAI) , volume=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the AAAI conference on artificial intelligence (AAAI) , volume=

Reference 6

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This paper cites Proceedings of the 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 7

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This paper cites Proceedings of the CEUR Workshop Proceedings (CEUR-WS) , volume=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the CEUR Workshop Proceedings (CEUR-WS) , volume=

Reference 8

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This paper cites Journal of behavior therapy and experimental psychiatry , volume=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Journal of behavior therapy and experimental psychiatry , volume=

Reference 9

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This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment YOLOv11: An Overview of the Key Architectural Enhancements

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This paper cites AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

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This paper cites Qwen3-VL Technical Report.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Qwen3-VL Technical Report

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This paper cites Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment 2026 , month = mar, howpublished =

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Behavior Research Methods (BRM) , volume=

Reference 15

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This paper cites and Fleiss, Joseph L.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment and Fleiss, Joseph L

Reference 16

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Recommendation ITU-R BT , pages=

Reference 17

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment In Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 19

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment In Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 20

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Applied Psychological Measurement (APM) , volume=

Reference 21

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Journal of the American Statistical Association (JASA) , volume=

Reference 22

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the 6th ACM international conference on Web search and data mining (WSDM) , pages=

Reference 23

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment In Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 24

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Neural Computation , volume=

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Qwen3-Omni Technical Report

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Qwen2.5-Omni Technical Report

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment arXiv preprint arXiv:2510.13747 , year=

Reference 28

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Emotion-Qwen: A Unified Framework for Emotion and Vision Understanding

Reference 30

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 33

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the International Conference on Learning Representations (ICLR) , volume=

Reference 34

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=

Reference 35

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This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 37

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 38

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment 2026 , month=

Reference 39

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 40

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment 1988 , publisher=

Reference 41

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This paper cites Frontiers in Robotics and AI , volume=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Frontiers in Robotics and AI , volume=

Reference 42

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) , volume=

Reference 43

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Imagination, Cognition and Personality , volume=

Reference 44

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment arXiv preprint arXiv:2508.09210 , year=

Reference 45

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models

Reference 46

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction (ACII) , pages=

Reference 47

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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Journal of Research in Personality (JRP) , volume=

Reference 48

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 443eb5c8-18c9-4595-a63c-d58c5c4fa8f2 · outbound

This paper cites IEEE Transactions on Affective Computing (TAFFC) , volume=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment IEEE Transactions on Affective Computing (TAFFC) , volume=

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.864691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 528436d4-8e66-49a8-8692-077348ba8cd3 · outbound

This paper cites Proceedings of the Findings of the Association for Computational Linguistics: ACL 2026 (ACL) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the Findings of the Association for Computational Linguistics: ACL 2026 (ACL) , pages=

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.848222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 77647c25-ab97-47ae-b614-43b7f5aa16f0 · outbound

This paper cites Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM) , pages=

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.827498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fab81392-5dc6-4fbd-9e3e-b85f8a2361b7 · outbound

This paper cites In Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment In Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.806279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa05d8b0-f0aa-4712-afeb-ebe6420a9362 · outbound

This paper cites Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL) , pages=

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.787978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b1ffaf5d-133c-4243-a747-eb2c1e348b27 · outbound

This paper cites arXiv preprint arXiv:2602.07054 , year=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment arXiv preprint arXiv:2602.07054 , year=

Reference 54

Resolution: verified exact; raw_fallback, observed 2026-08-12T17:17:41.729109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0759ec7f-dcfa-4ea5-acc2-6a4a5baae640 · outbound

This paper cites Scaling , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Scaling , pages=

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.764114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 037265d1-88e1-4466-8a8d-cf7e5cb3fc7f · outbound

This paper cites arXiv preprint arXiv:2606.19348 , year=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment arXiv preprint arXiv:2606.19348 , year=

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T17:17:41.200533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2472e087-f7e3-42ac-b77c-f95429a37bb4 · outbound

This paper cites Proceedings of the CEUR Workshop (CEUR-WS) , volume=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the CEUR Workshop (CEUR-WS) , volume=

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.740977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 13c41dd7-99e7-4167-b265-df157f457c54 · outbound

This paper cites In Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment In Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.721352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e7130be4-3704-4671-9ebd-5b194d27503e · outbound

This paper cites Theories of emotion , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Theories of emotion , pages=

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T17:17:41.217111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a76bf57-d6dd-4aa8-b441-efa7f3be8a02 · outbound

This paper cites 2001 , publisher=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment 2001 , publisher=

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.676275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26776d65-85e5-4cdd-bbf9-c814a7e8aca8 · outbound

This paper cites , author=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment , author=

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.653926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8d4e7369-4536-452d-af73-950c5a7b8e7b · outbound

This paper cites 2013 , publisher=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment 2013 , publisher=

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.631292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 37a2889d-4c3e-4842-b296-ba3a2b3fae6a · outbound

This paper cites Center for Person, Kommunikation, Aalborg University, NCCR Affective Sciences.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Center for Person, Kommunikation, Aalborg University, NCCR Affective Sciences

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.613285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 08fd2448-202b-4687-97cc-fd3d9ce24442 · outbound

This paper cites , author=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment , author=

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T17:17:41.241021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9522fa87-223a-499a-b91c-853349613768 · outbound

This paper cites ArtiMuse: Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understanding.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment ArtiMuse: Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understanding

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T17:17:41.246954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d0424dd-e754-4180-ad8a-823c8cf7aa37 · outbound

This paper cites , author=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment , author=

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T17:17:41.252189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19eaeede-79ce-4fd5-8ee0-1c50f9b93b03 · outbound

This paper cites Proceedings of the 31st ACM international conference on multimedia (ACM MM) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the 31st ACM international conference on multimedia (ACM MM) , pages=

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.561454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a6bde55c-2df4-41b7-8c2e-81d8fddff05f · outbound

This paper cites Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing (MRAC) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing (MRAC) , pages=

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.540046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c4e837e2-810a-4e1a-b327-69e928bb9b5a · outbound

This paper cites Cognition & emotion , volume=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Cognition & emotion , volume=

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.518748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af865e43-2233-4fac-87b4-13a7adac5e20 · outbound

This paper cites Behavior Research Methods (BRM) , volume=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Behavior Research Methods (BRM) , volume=

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.485094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5eb4befc-195d-4009-ac24-ab381460c666 · outbound

This paper cites Proceedings of the International Conference on Machine Learning (ICML) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the International Conference on Machine Learning (ICML) , pages=

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.460131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1fdd2e90-56f5-4764-80fa-1398324d9356 · outbound

This paper cites Qwen Technical Report.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Qwen Technical Report

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T17:17:41.284299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ad6e8f2-ab6e-4a43-a9dc-8d9a059662fb · outbound

This paper cites Proceedings of the International Conference on Machine Learning (ICML) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the International Conference on Machine Learning (ICML) , pages=

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.436623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5320dc2d-b18a-49e3-93ee-81955859e82a · outbound

This paper cites BEATs: Audio Pre-Training with Acoustic Tokenizers.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment BEATs: Audio Pre-Training with Acoustic Tokenizers

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T17:17:41.297661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7b04852-0ce2-45f6-9345-4fa9c491fe4e · outbound

This paper cites See https://vicuna.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment See https://vicuna

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T17:17:41.303463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab21cf59-e118-4b5a-badf-36190d8158d1 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T17:17:41.308775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 488c432d-dc17-4d74-84fc-2ae73a6a9060 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages=

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.394465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1fec8034-7174-4f96-999b-e457c2febbc5 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-12T17:17:41.324088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40f5a0e2-91a5-4da6-9486-34b1cd711113 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages=

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.371361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9e6cd55e-c57e-4531-858d-ab2f457cf65a · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning (ICML) , pages=.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Proceedings of the 38th International Conference on Machine Learning (ICML) , pages=

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:17:42.345512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2a7ecb4c-0ab1-4970-a083-caf716f08459 · outbound

This paper cites HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T17:17:41.350190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0abdf62-0a1f-41b1-9ddf-282f45515372 · outbound

This paper cites CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T17:17:41.361360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers