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References from Reasoning Together: Designing and Evaluating MLLM Team Strategies for Multimodal Quiz Questions. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1109/iccv51701.2025.00033
10.1109/iccv51701.2025.00033 · External reference
Mastermind and Expert Mind: A Qualitative Study of Elite Quizzers
2025 · External reference
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10.1109/jcdl67857.2025.00025
10.1109/jcdl67857.2025.00025 · External reference
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Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
10.1609/aaai.v40i24.39094 · 2026 · External reference
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Analyze-compose-execute: A dynamic dialogue framework for multi-agent debate
2026 · External reference
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Do Open Large Language Models Know What, Where, and When? A Case Study with Quiz-Style Questions
2025 · External reference
10.29003/2075-7182-2026-24-282-293
10.29003/2075-7182-2026-24-282-293 · External reference
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ManyModalQA: Modality Disambiguation and QA over Diverse Inputs
2020 · External reference
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
2025 · External reference
MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering
10.1609/aaai.v40i39.40585 · 2026 · External reference
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10.18653/v1/2023.emnlp-main.858
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10.1109/iccv51701.2025.00033
10.1109/iccv51701.2025.00033 · ExternalCitation · doi-reference
10.1109/jcdl67857.2025.00025
10.1109/jcdl67857.2025.00025 · ExternalCitation · doi-reference
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
10.1609/aaai.v40i24.39094 · ExternalCitation · doi-reference
MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering
10.1609/aaai.v40i39.40585 · ExternalCitation · doi-reference
10.18653/v1/2023.emnlp-main.858
10.18653/v1/2023.emnlp-main.858 · ExternalCitation · doi-reference
10.29003/2075-7182-2026-24-282-293
10.29003/2075-7182-2026-24-282-293 · ExternalCitation · doi-reference
