SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization | Paper Citation Record

Observation e38155e0-4d05-4cb7-bba3-222faacc11d6 · outbound

This paper cites GPT-4 Technical Report.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization GPT-4 Technical Report

Reference 1

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Observation e34f2373-749a-43c2-bd2f-0c814adb5909 · outbound

This paper cites The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models

Reference 2

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Observation f4f962b5-abea-419c-b305-f453d600d2ea · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Flamingo: a visual language model for few-shot learning

Reference 3

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Observation 1f2e9893-daa0-49c3-af16-b6a92ef2f91e · outbound

This paper cites Vqa: Visual question answering.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Vqa: Visual question answering

Reference 4

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Observation 2a6a0260-a01c-4683-b7dd-6547a4b2878c · outbound

This paper cites SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

Reference 5

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Observation 459c0c06-554b-4ee1-9749-d88fe2a3e16b · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 6

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Observation 0312c211-c292-45d2-8d1e-e3a8193549b3 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 7

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Observation fb064cbf-cd5a-49cc-87e5-603c74f6b0ab · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 8

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Observation b40f0961-f67c-428f-a555-36d36ea718e3 · outbound

This paper cites Introducing our multimodal models, 2023.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Introducing our multimodal models, 2023

Reference 9

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Observation dbfaacb0-d65d-4cd1-b8b6-b015e61627af · outbound

This paper cites Language Models are Few-Shot Learners.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Language Models are Few-Shot Learners

Reference 10

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Observation 16c793de-ab37-45a7-a931-0b41ccdc0a2a · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 11

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Observation 9b59c0da-a7c9-499f-b363-7351c3a535b4 · outbound

This paper cites A simple framework for con- trastive learning of visual representations.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization A simple framework for con- trastive learning of visual representations

Reference 12

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Observation d94c25f4-a825-4bcb-ad53-fb20ee5ee581 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Improved Baselines with Momentum Contrastive Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:35.844751Z

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Observation a8c5ab8c-8f7b-494c-a089-4e946acde688 · outbound

This paper cites Qwen2-Audio Technical Report.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Qwen2-Audio Technical Report

Reference 14

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Observation 05e1541a-ce3c-4549-a307-2e3c55995d51 · outbound

This paper cites Simple and controllable music generation.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Simple and controllable music generation

Reference 15

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Observation aa87ad16-16f0-4646-883c-dcc999720988 · outbound

This paper cites LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT

Reference 16

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Observation aefeb02f-3139-4ab8-b43e-941f9011e016 · outbound

This paper cites The Llama 3 Herd of Models.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization The Llama 3 Herd of Models

Reference 17

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Observation dc0100a1-bd19-4a57-ba10-50f819f943cc · outbound

This paper cites Dwyer, J.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Dwyer, J

Reference 18

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Observation 09b7180b-b8da-4e02-9e10-587fb06203fa · outbound

This paper cites LLaMA-Omni: Seamless Speech Interaction with Large Language Models.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Reference 19

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Observation bde0622f-a211-413d-8959-07c100cfb1af · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 20

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Observation b63b6cd6-1c1b-48e6-b72f-eeb59c7f6661 · outbound

This paper cites Aligning ai with shared human values.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Aligning ai with shared human values

Reference 21

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Observation ade39451-50ce-4a8e-8cae-3dd90e9a4bf1 · outbound

This paper cites Measuring massive multitask language under- standing.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Measuring massive multitask language under- standing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:38.835147Z

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Observation 5c309c09-ffe4-4cd5-bccb-a0a92548dc84 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Gaussian Error Linear Units (GELUs)

Reference 23

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This paper cites Scaling up visual and vision- language representation learning with noisy text su- pervision.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Scaling up visual and vision- language representation learning with noisy text su- pervision

Reference 24

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Observation 92a0d0e3-6832-4380-8d6f-873fcd73df42 · outbound

This paper cites Chat-univi: Unified visual representation empowers large language models with image and video understanding.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Chat-univi: Unified visual representation empowers large language models with image and video understanding

Reference 25

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Observation f9579513-82f7-4417-9f25-5b6b763b5cba · outbound

This paper cites Shamma, Michael S.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Shamma, Michael S

Reference 26

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Observation 6d3628b0-1b2f-4458-acf8-b765d56e114e · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Lisa: Reasoning segmentation via large language model

Reference 27

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Observation c374cde4-be6e-40cb-94e2-9aa4d54dd174 · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 28

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SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Blip-2: Bootstrapping language-image pre- training with frozen image encoders and large lan- guage models

Reference 29

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Observation 42bd135b-0d8c-4205-bfa3-f35f6e8eb26a · outbound

This paper cites Competition-level code generation with alpha- code.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Competition-level code generation with alpha- code

Reference 30

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Observation a3a2b95a-0413-4d0f-bc5a-23d8b7738aa9 · outbound

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SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Microsoft coco: Com- mon objects in context

Reference 31

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Observation befac284-10db-426f-978c-4c4a32521ff7 · outbound

This paper cites Improved baselines with visual instruction tun- ing.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Improved baselines with visual instruction tun- ing

Reference 32

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SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Visual instruction tuning

Reference 33

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Observation 08f9ab68-0c0e-413f-8bfc-30e8e2a42d1f · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? In Eu- ropean Conference on Computer Vision , pages 216–.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Mmbench: Is your multi-modal model an all-around player? In Eu- ropean Conference on Computer Vision , pages 216–

Reference 34

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Observation e80ef3e3-5524-4240-8ffb-5cb335fd151f · outbound

This paper cites Decoupled weight decay regularization.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Decoupled weight decay regularization

Reference 35

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Observation ecd81a06-f3e6-4d79-88e5-753a2c66ae88 · outbound

This paper cites Learn to explain: Mul- timodal reasoning via thought chains for science ques- tion answering.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Learn to explain: Mul- timodal reasoning via thought chains for science ques- tion answering

Reference 36

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SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Cheap and quick: Effi- cient vision-language instruction tuning for large lan- guage models

Reference 37

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Observation 2dc24cef-ef1f-4e3c-8b6e-f9ca1c774691 · outbound

This paper cites Ok-vqa: A visual question answering benchmark requiring external knowledge.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Ok-vqa: A visual question answering benchmark requiring external knowledge

Reference 38

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Observation 332fd706-58dd-4250-a898-23da7f04fab7 · outbound

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SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization GAIA: a benchmark for General AI Assistants

Reference 39

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SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Foundation models for generalist medical artificial intelligence

Reference 40

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SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Unresolved cited work

Reference 41

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Observation 0f8a3fc0-c640-43a8-a42a-8e65c678cb67 · outbound

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SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Hello, gpt-4o, 2024

Reference 42

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Observation 0ce719a4-2f4a-41d2-8ea9-c490021cf772 · outbound

This paper cites Learning transferable visual models from natural language supervision.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Learning transferable visual models from natural language supervision

Reference 43

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SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Ro- bust speech recognition via large-scale weak supervi- sion

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:38.342125Z

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Observation 85f195c7-d613-470f-9948-0f78451472b1 · outbound

This paper cites Language-based action concept spaces improve video self-supervised learning.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Language-based action concept spaces improve video self-supervised learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:38.259066Z

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Observation bc2f41eb-709c-42a5-8be3-8d5f40051593 · outbound

This paper cites Learning to localize objects improves spatial reason- ing in visual-llms.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Learning to localize objects improves spatial reason- ing in visual-llms

Reference 46

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Observation 7e0adb7c-32b2-46be-9894-b53d69f2805a · outbound

This paper cites AudioPaLM: A Large Language Model That Can Speak and Listen.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization AudioPaLM: A Large Language Model That Can Speak and Listen

Reference 47

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Observation 85b2b88e-6beb-47ad-b1ea-80d8555e1b7a · outbound

This paper cites Laion-5b: An open large- scale dataset for training next generation image-text models.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Laion-5b: An open large- scale dataset for training next generation image-text models

Reference 48

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Observation aff80d5a-e074-4bfa-b9ae-63fb309a0faf · outbound

This paper cites Hugginggpt: Solv- ing ai tasks with chatgpt and its friends in hugging face.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Hugginggpt: Solv- ing ai tasks with chatgpt and its friends in hugging face

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:38.106690Z

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Observation 443f7f8b-8b91-40a6-adac-1cab8eb7ccc3 · outbound

This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 50

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Observation fb7cbeb8-0834-4276-b634-1a2f9605f789 · outbound

This paper cites Movieqa: Understanding stories in movies through question-answering.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Movieqa: Understanding stories in movies through question-answering

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:37.993812Z

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Observation 90bdbea7-9691-4b58-a967-112ba279d948 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization LLaMA: Open and Efficient Foundation Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:36.730242Z

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Observation 617d7226-bf4e-4f9d-b76f-9ee0a892f1ad · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:36.733806Z

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Observation 3f6bf28b-fb9d-4fc6-aca7-cb34fa842092 · outbound

This paper cites Efficient utilization of large pre-trained models for low resource asr.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Efficient utilization of large pre-trained models for low resource asr

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:37.885573Z

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Observation 30e37c54-f640-4ccc-a9bd-ad19b8ff641c · outbound

This paper cites Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:36.741509Z

Source-reported events for the cited work

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Observation 4c67679e-2587-46fd-bf77-1435bcda9beb · outbound

This paper cites BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:36.746475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f6d93d-8bfd-40e1-918a-47977c128466 · outbound

This paper cites Visionllm: Large lan- guage model is also an open-ended decoder for vision- centric tasks.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Visionllm: Large lan- guage model is also an open-ended decoder for vision- centric tasks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:37.804424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 18aff06f-53b5-412a-a9ff-8edc99353f64 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Finetuned Language Models Are Zero-Shot Learners

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:36.754966Z

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Observation 737edb95-c53c-4ab0-8ade-cea8be816922 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Chain-of-thought prompting elicits reasoning in large language models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:37.733320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 16bf530b-c262-4a9a-acc7-fddb5e19921e · outbound

This paper cites Hard prompts made easy: Gradient-based discrete opti- mization for prompt tuning and discovery.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Hard prompts made easy: Gradient-based discrete opti- mization for prompt tuning and discovery

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:37.719930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4a30ec71-fd78-4fa6-9f6a-c1f04bc3bda5 · outbound

This paper cites Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:36.962840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b0996d9-4110-46c0-bec6-68ca8e9c6c90 · outbound

This paper cites MM-BigBench: Evaluating Multimodal Models on Multimodal Content Comprehension Tasks.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization MM-BigBench: Evaluating Multimodal Models on Multimodal Content Comprehension Tasks

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:18:37.165466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b41eac5-f975-4886-90f0-0b84e28863fb · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Tree of thoughts: Deliberate problem solving with large language models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:37.708765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b999423-825e-491c-abad-e975a6d51b8a · outbound

This paper cites From image descriptions to visual de- notations: New similarity metrics for semantic in- ference over event descriptions.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization From image descriptions to visual de- notations: New similarity metrics for semantic in- ference over event descriptions

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:37.597024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5fe61c81-6674-44ca-8e78-62ecac9f7c70 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:36.979839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0ea930b-99e6-4255-8723-f3812a007cab · outbound

This paper cites Mmmu: A mas- sive multi-discipline multimodal understanding and reasoning benchmark for expert agi.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Mmmu: A mas- sive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:36.983631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 606538b6-dfe2-4648-a2ce-557b2765661c · outbound

This paper cites SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:36.988004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 027c6b6b-388f-45ea-8a9f-9d62e9dc50dd · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:36.993184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0066eee-12ee-4eeb-a1e7-bffe7c37470e · outbound

This paper cites Ddcot: Duty-distinct chain-of-thought prompting for multimodal reasoning in language mod- els.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization Ddcot: Duty-distinct chain-of-thought prompting for multimodal reasoning in language mod- els

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:37.445003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8269c6d5-70a5-47be-9d32-af2f1d2ba8ac · outbound

This paper cites P Xing, Hao Zhang, Joseph E.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization P Xing, Hao Zhang, Joseph E

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:37.430388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ce1ee04-c69c-478a-9513-2225377861f5 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:37.087313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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