Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T18:12:27.396607Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 100 inbound Pith citation observations for arXiv:2302.00923.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T18:12:27.396607Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:02:10.670667Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
49 of 49 outbound references displayed
External citation measurements
98
pith, observed 2026-08-05T02:28:24.338817Z
Observation 7ad35ea1-2a60-458b-b4ef-201ffec9a45b · outbound
Multimodal Chain-of-Thought Reasoning in Language Models Bottom-up and top-down attention for image captioning and visual question answering
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Multimodal Chain-of-Thought Reasoning in Language Models Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Gadre, Shiori Sagawa, et al
Reference 2
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Multimodal Chain-of-Thought Reasoning in Language Models Unresolved cited work
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Multimodal Chain-of-Thought Reasoning in Language Models End-to-end object detection with transformers
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Multimodal Chain-of-Thought Reasoning in Language Models Unresolved cited work
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Multimodal Chain-of-Thought Reasoning in Language Models Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
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Multimodal Chain-of-Thought Reasoning in Language Models See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning
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Multimodal Chain-of-Thought Reasoning in Language Models PaLM: Scaling Language Modeling with Pathways
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Multimodal Chain-of-Thought Reasoning in Language Models Scaling Instruction-Finetuned Language Models
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Multimodal Chain-of-Thought Reasoning in Language Models An image is worth 16x16 words: Transformers for image recognition at scale
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Multimodal Chain-of-Thought Reasoning in Language Models Complexity-Based Prompting for Multi-Step Reasoning
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Multimodal Chain-of-Thought Reasoning in Language Models Yaru Hao, Haoyu Song, Li Dong, Shaohan Huang, Zewen Chi, Wenhui Wang, Shuming Ma, and Furu Wei
Reference 14
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Multimodal Chain-of-Thought Reasoning in Language Models Deep residual learning for image recognition
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Multimodal Chain-of-Thought Reasoning in Language Models Deep residual learning for image recognition
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Multimodal Chain-of-Thought Reasoning in Language Models Towards Reasoning in Large Language Models: A Survey
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Multimodal Chain-of-Thought Reasoning in Language Models In Findings of the Association for Com- putational Linguistics: EMNLP 2020 , Trevor Cohn, Yulan He, and Yang Liu (Eds.)
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Multimodal Chain-of-Thought Reasoning in Language Models Bilinear attention networks
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Multimodal Chain-of-Thought Reasoning in Language Models Vilt: Vision-and-language transformer without convolution or region supervision
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Multimodal Chain-of-Thought Reasoning in Language Models On vision features in multimodal machine translation
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Multimodal Chain-of-Thought Reasoning in Language Models Making Large Language Models Better Reasoners with Step-Aware Verifier
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Multimodal Chain-of-Thought Reasoning in Language Models Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
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Multimodal Chain-of-Thought Reasoning in Language Models Teaching Small Language Models to Reason
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Observation e0393ae7-7a86-4e00-8d6f-cbad4c222670 · outbound
Multimodal Chain-of-Thought Reasoning in Language Models Learning to retrieve prompts for in-context learning
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Multimodal Chain-of-Thought Reasoning in Language Models URL https://aclanthology.org/2022.naacl-main.191
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Multimodal Chain-of-Thought Reasoning in Language Models Alpaca: A strong, replicable instruction-following model.Stanford Center for Research on Foundation Models
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Multimodal Chain-of-Thought Reasoning in Language Models Gomez, Lukasz Kaiser, and Illia Polosukhin
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Multimodal Chain-of-Thought Reasoning in Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models
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Multimodal Chain-of-Thought Reasoning in Language Models doi: 10.18653/v1/2021.acl-long.480
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Multimodal Chain-of-Thought Reasoning in Language Models Deep modular co-attention networks for visual question answering
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Multimodal Chain-of-Thought Reasoning in Language Models Universal multimodal representation for language understanding.IEEE Transactions on Pattern Analysis and Machine Intelligence, pp
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Multimodal Chain-of-Thought Reasoning in Language Models Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
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Multimodal Chain-of-Thought Reasoning in Language Models Here, we present additional examples to illustrate this phenomenon, as depicted in Figure
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Multimodal Chain-of-Thought Reasoning in Language Models •ScienceQA is a large-scale multimodal science question dataset with annotated lectures and explanations
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Multimodal Chain-of-Thought Reasoning in Language Models Then, we use the generated pseudo-rationales as the target rationales for training instead of relying on the human annotation of reasoning chains
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Multimodal Chain-of-Thought Reasoning in Language Models 80% 14%6% CommonsenseLogicalOthers Figure 11: Categorization analysis
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Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective Multimodal Chain-of-Thought Reasoning in Language Models
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Grounded Reinforcement Learning for Visual Reasoning Multimodal Chain-of-Thought Reasoning in Language Models
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Reference 227
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Reference 65
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Reference 71
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Reference 49
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Reference 71
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Reference 124
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Reference 67
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Reference 39
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Reference 131
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