From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering | Paper Citation Record

Observation a856b324-4683-4d5e-9843-4e182f86be27 · outbound

This paper cites GPT-4 Technical Report.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering GPT-4 Technical Report

Reference 1

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Observation 227add3b-52ae-4645-aa06-269248604787 · outbound

This paper cites Vqa: Visual question answering.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Vqa: Visual question answering

Reference 2

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Observation 547ca472-ad31-4046-bc5e-58f3feda5d1c · outbound

This paper cites Language models are few-shot learners.Ad- vances in neural information processing systems, 33: 1877–1901, 2020.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Language models are few-shot learners.Ad- vances in neural information processing systems, 33: 1877–1901, 2020

Reference 3

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Observation 9242f7d9-d782-40bc-ae45-a27ac7e217dd · outbound

This paper cites an unresolved cited work.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Unresolved cited work

Reference 4

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Observation dfcb3628-6e02-4475-b144-f55591c1ffcf · outbound

This paper cites Visual chain-of-thought prompting for knowledge-based visual reasoning.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Visual chain-of-thought prompting for knowledge-based visual reasoning

Reference 5

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Observation 5c7f1a76-4f80-4863-8bd2-c618a09b0a13 · outbound

This paper cites Instructblip: Towards general- purpose vision-language models with instruction tuning.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Instructblip: Towards general- purpose vision-language models with instruction tuning

Reference 6

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Observation db3fc461-537c-498a-acff-34ba500c89a8 · outbound

This paper cites Modality-aware inte- gration with large language models for knowledge-based visual question answering.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Modality-aware inte- gration with large language models for knowledge-based visual question answering

Reference 7

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Observation 851e53b5-6c37-4181-8f23-4eabc711f5d4 · outbound

This paper cites Palm- e: an embodied multimodal language model.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Palm- e: an embodied multimodal language model

Reference 8

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Observation 3ef7546d-b697-46ed-a217-22228008c84b · outbound

This paper cites Notes-guided mllm reasoning: Enhancing mllm with knowledge and visual notes for visual question answer- ing.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Notes-guided mllm reasoning: Enhancing mllm with knowledge and visual notes for visual question answer- ing

Reference 9

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Observation 37d8b575-8a65-4557-9c68-70fd53bff3ed · outbound

This paper cites Transform- retrieve-generate: Natural language-centric outside- knowledge visual question answering.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Transform- retrieve-generate: Natural language-centric outside- knowledge visual question answering

Reference 10

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Observation a35ae7b4-30d6-44de-a34b-a794cd3d1738 · outbound

This paper cites Conceptbert: Concept-aware repre- sentation for visual question answering.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Conceptbert: Concept-aware repre- sentation for visual question answering

Reference 11

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Observation 48f56383-a8dc-4b70-b5a0-125291d604e3 · outbound

This paper cites Making the v in vqa matter: El- evating the role of image understanding in visual ques- tion answering.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Making the v in vqa matter: El- evating the role of image understanding in visual ques- tion answering

Reference 12

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Observation 5ac3b9e1-add2-4e5a-beaf-a7f7b924d524 · outbound

This paper cites Kat: A knowledge augmented transformer for vision- and-language.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Kat: A knowledge augmented transformer for vision- and-language

Reference 13

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Observation 83e163d6-32fb-4829-bcb2-32eea89c21f5 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

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Observation 35ed5475-4d37-4e53-a8f7-a151c71c8b9a · outbound

This paper cites Self-bootstrapped visual-language model for knowledge selection and question answering.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Self-bootstrapped visual-language model for knowledge selection and question answering

Reference 15

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Observation dbe2bbd0-21ea-4b7a-a6ca-139717f55c9c · outbound

This paper cites Lora: Low-rank adaptation of large language mod- els.ICLR, 1(2):3, 2022.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Lora: Low-rank adaptation of large language mod- els.ICLR, 1(2):3, 2022

Reference 16

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Observation 9caa5791-24bf-4107-af07-659e22d69095 · outbound

This paper cites Promptcap: Prompt- guided image captioning for vqa with gpt-3.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Promptcap: Prompt- guided image captioning for vqa with gpt-3

Reference 17

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Observation 12eecd2d-3768-4b35-8df5-7c973a60d45a · outbound

This paper cites Reveal: Retrieval-augmented visual-language pre-training with multi-source multi- modal knowledge memory.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Reveal: Retrieval-augmented visual-language pre-training with multi-source multi- modal knowledge memory

Reference 18

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Observation ad5821d8-3fb5-48c9-ad9b-a0742a2325f9 · outbound

This paper cites GPT-4o System Card.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering GPT-4o System Card

Reference 19

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Observation 9a61fa14-bbae-480e-b46f-3da1f095e84e · outbound

This paper cites Large language models know what is key visual entity: An llm-assisted multimodal retrieval for vqa.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Large language models know what is key visual entity: An llm-assisted multimodal retrieval for vqa

Reference 20

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Observation f3753ee6-1b4d-45b0-87f4-eaefeb704ece · outbound

This paper cites Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning

Reference 21

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Observation 5dd3ca80-db90-43b4-87f9-cf7e04c3f320 · outbound

This paper cites Mm-reasoner: A multi-modal knowledge-aware framework for knowledge-based vi- sual question answering.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Mm-reasoner: A multi-modal knowledge-aware framework for knowledge-based vi- sual question answering

Reference 22

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Observation 7635c440-7d41-4a81-ac56-6ab48bb65c37 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 23

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Observation 8cc4695a-19c3-44c2-81b6-1bc9af83b28c · outbound

This paper cites Retrieval augmented vi- sual question answering with outside knowledge.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Retrieval augmented vi- sual question answering with outside knowledge

Reference 24

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Observation 690e57c2-48ba-4654-9b6d-53e9236c30d1 · outbound

This paper cites Fine-grained late-interaction multi-modal retrieval for retrieval augmented visual question answering.Advances in Neural Information Processing Systems, 36:22820–22840, 2023.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Fine-grained late-interaction multi-modal retrieval for retrieval augmented visual question answering.Advances in Neural Information Processing Systems, 36:22820–22840, 2023

Reference 25

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Observation 51f5f09e-2e30-4069-b3f3-9aa4441eee48 · outbound

This paper cites Revive: Regional visual representation matters in knowledge-based visual ques- tion answering.Advances in neural information process- ing systems, 35:10560–10571, 2022.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Revive: Regional visual representation matters in knowledge-based visual ques- tion answering.Advances in neural information process- ing systems, 35:10560–10571, 2022

Reference 26

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Observation 8ffdc0d1-17d5-4b63-b8e3-e1cb93f8f5dd · outbound

This paper cites Visual instruction tuning, 2023.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Visual instruction tuning, 2023

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Observation 4ed571bd-3ab5-4af4-ba6a-bd81708ef983 · outbound

This paper cites Retrieval-augmented visual question answering via built-in autoregressive search en- gines.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Retrieval-augmented visual question answering via built-in autoregressive search en- gines

Reference 28

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Observation 00b2f48c-ffe6-4778-ae82-97bf14a5c4d1 · outbound

This paper cites Learn to explain: Multi- modal reasoning via thought chains for science question answering.Advances in Neural Information Processing Systems, 35:2507–2521, 2022.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Learn to explain: Multi- modal reasoning via thought chains for science question answering.Advances in Neural Information Processing Systems, 35:2507–2521, 2022

Reference 29

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Observation 813129b5-89a7-420f-8a7f-f040fe200413 · outbound

This paper cites Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering

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Observation a6ce6931-e1f8-44a2-abb8-7588a3dd4c43 · outbound

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

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Ok-vqa: A visual question answer- ing benchmark requiring external knowledge

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Observation 769dc80e-ba55-4076-ace4-322d05e9bf0a · outbound

This paper cites Krisp: Integrating implicit and symbolic knowledge for open-domain knowledge- based vqa.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Krisp: Integrating implicit and symbolic knowledge for open-domain knowledge- based vqa

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Observation 7c70e120-0abd-429f-95ae-c5a3f957b8a9 · outbound

This paper cites Di- rect preference optimization: Your language model is se- cretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Di- rect preference optimization: Your language model is se- cretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023

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Observation 041e7afd-6bcb-4c1c-91c4-a1d122e06db8 · outbound

This paper cites Exploring the limits of transfer learn- ing with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Exploring the limits of transfer learn- ing with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020

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Observation f8d29a0c-60db-4759-b417-93761f76d9de · outbound

This paper cites A- okvqa: A benchmark for visual question answering using world knowledge.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering A- okvqa: A benchmark for visual question answering using world knowledge

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Observation b89791c4-7440-4812-ab40-637960aad89a · outbound

This paper cites Kvqa: Knowledge-aware visual question answering.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Kvqa: Knowledge-aware visual question answering

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Observation 322664d1-7dde-461f-83d8-d8d48852593f · outbound

This paper cites Combo of thinking and observing for outside-knowledge vqa.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Combo of thinking and observing for outside-knowledge vqa

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Observation 9f39e50e-0f05-427e-bc3d-9cdbebc1ce5b · outbound

This paper cites Con- ceptnet 5.5: An open multilingual graph of general knowledge.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Con- ceptnet 5.5: An open multilingual graph of general knowledge

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Observation 56ee9190-8c44-4df8-94e2-addd95ed7f39 · outbound

This paper cites Qwen2 Technical Report.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Qwen2 Technical Report

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Observation ff3b9531-7457-4ae3-b450-cd21c9fe9761 · outbound

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

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Llama 2: Open Foundation and Fine-Tuned Chat Models

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Observation a6e6ee8a-077f-4f88-999d-fd97c15f70b4 · outbound

This paper cites Wikidata: a free collaborative knowledgebase.Communications of the ACM, 57(10):78–85, 2014.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Wikidata: a free collaborative knowledgebase.Communications of the ACM, 57(10):78–85, 2014

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Observation 145233f2-0720-426c-bc44-df95146683b7 · outbound

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From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Self-consistency improves chain of thought reasoning in language models

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Observation 4cb52080-0d2a-45dd-8fa3-e730e3cdc1d5 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

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Observation ad9dc4fd-1da1-4c58-af14-5beea75d2952 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

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Observation 2a08dd01-b34f-4b8d-8ecc-3fe9ffe5b41a · outbound

This paper cites Multi-modal answer validation for 10 knowledge-based vqa.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Multi-modal answer validation for 10 knowledge-based vqa

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Observation 8c26d032-93ec-475b-a1df-e3ebfb02ae9b · outbound

This paper cites A simple baseline for knowledge-based visual question answering.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering A simple baseline for knowledge-based visual question answering

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Observation 73116afd-17a4-49a4-9f54-b44cc68ba87b · outbound

This paper cites LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering LLaVA-CoT: Let Vision Language Models Reason Step-by-Step

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Observation 8f55d160-3c1b-46b0-a9e8-fbc87975a726 · outbound

This paper cites An empiri- cal study of gpt-3 for few-shot knowledge-based vqa.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering An empiri- cal study of gpt-3 for few-shot knowledge-based vqa

Reference 48

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Observation fadb3203-afb5-497a-a537-5c86cd9dfe51 · outbound

This paper cites Self-distillation bridges distribution gap in language model fine-tuning.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Self-distillation bridges distribution gap in language model fine-tuning

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Observation ed6b582c-2a18-4cb5-b71f-3be7a585242f · outbound

This paper cites Separation of powers: On segregating knowledge from observation in llm-enabled knowledge-based visual question answer- ing.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Separation of powers: On segregating knowledge from observation in llm-enabled knowledge-based visual question answer- ing

Reference 50

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Observation eeae1f07-b5ad-4c89-b6b7-b8cbdaed8421 · outbound

This paper cites Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Reference 51

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Observation a9bec82e-cbe2-4bce-8805-ce3bb1573123 · outbound

This paper cites an unresolved cited work.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Unresolved cited work

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Observation 13785fc6-55f9-4cca-9b4e-7c0cd89b346f · outbound

This paper cites Multimodal chain-of- thought reasoning in language models.Transactions on Machine Learning Research, 2024, 2024.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Multimodal chain-of- thought reasoning in language models.Transactions on Machine Learning Research, 2024, 2024

Reference 53

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Observation e63c6a68-977e-47d5-94c6-457b39669f4b · outbound

This paper cites Llamafactory: Unified efficient fine-tuning of 100+ language models.

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering Llamafactory: Unified efficient fine-tuning of 100+ language models

Reference 54

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Observation df7c650e-4a66-46c0-8f96-93067bd9c579 · outbound

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

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 55

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