Energy-Guided Decoding for Object Hallucination Mitigation | Paper Citation Record

Observation 3eaece50-30be-4a17-9ed0-2e18caf02483 · outbound

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

Energy-Guided Decoding for Object Hallucination Mitigation OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 1

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Observation dc2a183a-37f4-4e17-8645-27acc902fcc4 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Energy-Guided Decoding for Object Hallucination Mitigation Hallucination of Multimodal Large Language Models: A Survey

Reference 2

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Observation 8fb7d86a-7b45-41c2-9903-ec34a10ad904 · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

Energy-Guided Decoding for Object Hallucination Mitigation Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 3

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Observation 606c0b8e-9937-4db4-b314-f83629ed8875 · outbound

This paper cites Man is to computer program- mer as woman is to homemaker? debiasing word embed- dings, 2016.

Energy-Guided Decoding for Object Hallucination Mitigation Man is to computer program- mer as woman is to homemaker? debiasing word embed- dings, 2016

Reference 4

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Observation b07bc13b-ab65-4db2-9a68-4f4d23de3742 · outbound

This paper cites Your Classifier Can Be Secretly a Likelihood-Based OOD Detector.

Energy-Guided Decoding for Object Hallucination Mitigation Your Classifier Can Be Secretly a Likelihood-Based OOD Detector

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:39:31.418138Z

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Observation 8f9e4f6d-bb0d-4526-b275-de53838e7640 · outbound

This paper cites Generic attention- model explainability for interpreting bi-modal and encoder- decoder transformers.

Energy-Guided Decoding for Object Hallucination Mitigation Generic attention- model explainability for interpreting bi-modal and encoder- decoder transformers

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:35.351241Z

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Observation 088cbd24-7b1b-456c-9efe-6fb1daa789ca · outbound

This paper cites Halc: Object hallucination reduc- tion via adaptive focal-contrast decoding.

Energy-Guided Decoding for Object Hallucination Mitigation Halc: Object hallucination reduc- tion via adaptive focal-contrast decoding

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:35.226728Z

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Observation 3f1c97d1-5b1b-4b04-81e8-e439c502b690 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

Energy-Guided Decoding for Object Hallucination Mitigation Gonzalez, Ion Stoica, and Eric P

Reference 8

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Observation 5ead9957-0bba-4708-b8e2-4cd649bacf8e · outbound

This paper cites Dola: Decoding by con- trasting layers improves factuality in large language models.

Energy-Guided Decoding for Object Hallucination Mitigation Dola: Decoding by con- trasting layers improves factuality in large language models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:35.087815Z

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Observation 82b1a3a1-1c12-4a25-9c65-157eac7977f0 · outbound

This paper cites Mavor-Parker, Aengus Lynch, Stefan Heimersheim, and Adri `a Garriga-Alonso.

Energy-Guided Decoding for Object Hallucination Mitigation Mavor-Parker, Aengus Lynch, Stefan Heimersheim, and Adri `a Garriga-Alonso

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:34.949795Z

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Observation 3c1f8eb4-77f8-4e04-966a-3ad7c1466580 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Energy-Guided Decoding for Object Hallucination Mitigation InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:26.305024Z

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Observation 6970bb86-6edc-4537-b66e-fa908fc7d175 · outbound

This paper cites An- alyzing transformers in embedding space.

Energy-Guided Decoding for Object Hallucination Mitigation An- alyzing transformers in embedding space

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:34.828479Z

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Observation b6c7de87-202f-49b0-8533-ae977cac582d · outbound

This paper cites Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding.

Energy-Guided Decoding for Object Hallucination Mitigation Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 13

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Observation 257ae278-e5a8-4c32-b66f-a4182ca48771 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Energy-Guided Decoding for Object Hallucination Mitigation PaLM-E: An Embodied Multimodal Language Model

Reference 14

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Observation e7d5c0f0-8420-4ef4-a945-27c97650fec6 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Energy-Guided Decoding for Object Hallucination Mitigation MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 15

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Observation 958a9227-37ff-44e8-9599-e4e99d9fbd8e · outbound

This paper cites Transformer feed-forward layers are key-value memories.

Energy-Guided Decoding for Object Hallucination Mitigation Transformer feed-forward layers are key-value memories

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:34.717226Z

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Observation 2d7dc895-0565-4c74-9e39-865ece8ca77b · outbound

This paper cites Transformer feed-forward layers build predictions by pro- moting concepts in the vocabulary space.

Energy-Guided Decoding for Object Hallucination Mitigation Transformer feed-forward layers build predictions by pro- moting concepts in the vocabulary space

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:34.616766Z

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Observation 7877f93e-ec94-4fc8-b834-6fabf825ad66 · outbound

This paper cites Your classifier is secretly an energy based model and you should treat it like one.

Energy-Guided Decoding for Object Hallucination Mitigation Your classifier is secretly an energy based model and you should treat it like one

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:34.489398Z

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Observation feb60360-d175-42cd-ab6f-f176a3e4d96d · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

Energy-Guided Decoding for Object Hallucination Mitigation Sequence Transduction with Recurrent Neural Networks

Reference 19

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Observation 9563435f-cad2-4699-98e6-e2c69ec47943 · outbound

This paper cites Overthinking the Truth: Understanding how Language Models Process False Demonstrations.

Energy-Guided Decoding for Object Hallucination Mitigation Overthinking the Truth: Understanding how Language Models Process False Demonstrations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:27.180457Z

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Observation c3162389-fd82-4842-ad35-44ef1b53acfc · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Energy-Guided Decoding for Object Hallucination Mitigation The Curious Case of Neural Text Degeneration

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:27.291260Z

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Observation b5c713b3-e18b-4634-9c1e-b28495659db8 · outbound

This paper cites OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation.

Energy-Guided Decoding for Object Hallucination Mitigation OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:27.377230Z

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Observation 0a87fe04-39eb-4b60-a80c-b5a0661388a6 · outbound

This paper cites GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering.

Energy-Guided Decoding for Object Hallucination Mitigation GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering

Reference 23

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Observation 3a485711-a658-4265-8685-3089ac696e31 · outbound

This paper cites Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens.

Energy-Guided Decoding for Object Hallucination Mitigation Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:27.700032Z

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Observation 572ef937-8602-4dcb-b56f-43d0a72b220d · outbound

This paper cites Attention is not only a weight: Analyzing trans- formers with vector norms.

Energy-Guided Decoding for Object Hallucination Mitigation Attention is not only a weight: Analyzing trans- formers with vector norms

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:34.206877Z

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Observation 887f159e-7092-40ba-b23f-567822709bd5 · outbound

This paper cites Mitigating object hal- lucinations in large vision-language models through visual contrastive decoding.

Energy-Guided Decoding for Object Hallucination Mitigation Mitigating object hal- lucinations in large vision-language models through visual contrastive decoding

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:34.080671Z

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Observation a9657f87-16a4-4441-8476-17fa5835bbdb · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models, 2023.

Energy-Guided Decoding for Object Hallucination Mitigation Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models, 2023

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:33.960354Z

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Observation 6135c2d3-9b9e-4b7a-b2da-4557a3484910 · outbound

This paper cites Contrastive decoding: Open-ended text genera- tion as optimization.

Energy-Guided Decoding for Object Hallucination Mitigation Contrastive decoding: Open-ended text genera- tion as optimization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:33.824354Z

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Observation e2151829-bdd7-4d14-89f6-a55e51c71526 · outbound

This paper cites Evaluating object hallucination in large vision-language models.

Energy-Guided Decoding for Object Hallucination Mitigation Evaluating object hallucination in large vision-language models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:33.707157Z

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Observation 97179fbf-69cf-4b06-bc6b-f43a7826e53a · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Energy-Guided Decoding for Object Hallucination Mitigation Microsoft COCO: Common Objects in Context

Reference 30

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Observation b57c4a16-5e15-44b2-af99-cdab0d5c27f7 · outbound

This paper cites Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning.

Energy-Guided Decoding for Object Hallucination Mitigation Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:28.337071Z

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Observation 078dc0ba-b290-4a7f-bb30-f353a6ab9aaf · outbound

This paper cites Improved baselines with visual instruction tuning.

Energy-Guided Decoding for Object Hallucination Mitigation Improved baselines with visual instruction tuning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:33.587269Z

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Observation 885237e1-04bf-456c-b959-f870fa85c053 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Energy-Guided Decoding for Object Hallucination Mitigation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:28.476133Z

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Observation 4b0341c2-5175-49e9-a61c-b4a522c9ab10 · outbound

This paper cites Paying more atten- tion to image: A training-free method for alleviating halluci- nation in lvlms.

Energy-Guided Decoding for Object Hallucination Mitigation Paying more atten- tion to image: A training-free method for alleviating halluci- nation in lvlms

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:33.463141Z

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Observation 3a635334-8032-4572-8a4b-0587f2d64e9a · outbound

This paper cites Energy-based out-of-distribution detection.

Energy-Guided Decoding for Object Hallucination Mitigation Energy-based out-of-distribution detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:33.353576Z

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Observation 0802ce21-3b7c-4d4f-bee6-db926fa176e9 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Energy-Guided Decoding for Object Hallucination Mitigation DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:28.747757Z

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Observation ac7bbbe9-212a-4a7e-9f80-929f5370e675 · outbound

This paper cites Locating and Editing Factual Associations in GPT.

Energy-Guided Decoding for Object Hallucination Mitigation Locating and Editing Factual Associations in GPT

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:28.803136Z

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Observation 15ec262b-7dc2-4e96-9fb4-22b19a1a170e · outbound

This paper cites interpreting gpt: the logit lens.

Energy-Guided Decoding for Object Hallucination Mitigation interpreting gpt: the logit lens

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:33.207813Z

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Observation a8a2e19b-d0e5-47d3-b297-d56f39a7d67d · outbound

This paper cites Chatgpt, 2023.

Energy-Guided Decoding for Object Hallucination Mitigation Chatgpt, 2023

Reference 39

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Observation c4abd819-cf8a-4c7c-a401-f85f2e201f27 · outbound

This paper cites Gpt-4(vision) technical report, 2023.

Energy-Guided Decoding for Object Hallucination Mitigation Gpt-4(vision) technical report, 2023

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:33.004533Z

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Observation 401cf949-c917-4b04-acf3-493a219529fc · outbound

This paper cites CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs.

Energy-Guided Decoding for Object Hallucination Mitigation CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:29.087461Z

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Observation d323a2d5-cc7c-4bb7-9cd9-d88a55f5a6d3 · outbound

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

Energy-Guided Decoding for Object Hallucination Mitigation Learning transferable visual models from natural language supervision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:32.894240Z

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Observation a7ee9514-d21d-48ad-aae5-f9eb8a1b4836 · outbound

This paper cites Linear Adversarial Concept Erasure.

Energy-Guided Decoding for Object Hallucination Mitigation Linear Adversarial Concept Erasure

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:39:30.722065Z

Source-reported events for the cited work

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Observation 22e07722-ef3f-4ec8-a285-38951e22bb7a · outbound

This paper cites Object hallucination in image cap- tioning.

Energy-Guided Decoding for Object Hallucination Mitigation Object hallucination in image cap- tioning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:32.759054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07f9fa56-b472-488a-872f-2df762b68909 · outbound

This paper cites A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge.

Energy-Guided Decoding for Object Hallucination Mitigation A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:29.346954Z

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Observation 2d673c78-4239-4eb7-9fe1-0916fb433f87 · outbound

This paper cites MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.

Energy-Guided Decoding for Object Hallucination Mitigation MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:29.428645Z

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Observation 412609c6-603e-4393-a594-0a4c3de84c27 · outbound

This paper cites Eyes wide shut? exploring the visual shortcomings of multimodal llms.

Energy-Guided Decoding for Object Hallucination Mitigation Eyes wide shut? exploring the visual shortcomings of multimodal llms

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:32.623286Z

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Observation 05e1c920-b030-4774-8df8-807b1e6009fd · outbound

This paper cites Llama 2: Open foundation and fine- tuned chat models, 2023.

Energy-Guided Decoding for Object Hallucination Mitigation Llama 2: Open foundation and fine- tuned chat models, 2023

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:32.422852Z

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Observation 77d87c61-7651-4963-9d62-7cf39831fb82 · outbound

This paper cites Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding.

Energy-Guided Decoding for Object Hallucination Mitigation Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:29.659436Z

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Observation 8e3e01ea-a6f1-458b-8b61-a76246556d9d · outbound

This paper cites Extrinsic hallucinations in llms.

Energy-Guided Decoding for Object Hallucination Mitigation Extrinsic hallucinations in llms

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:32.256969Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e96acd10-c2c4-4b6d-a51b-4d927b22aeae · outbound

This paper cites Mitigat- ing hallucination in large vision-language models via mod- ular attribution and intervention.

Energy-Guided Decoding for Object Hallucination Mitigation Mitigat- ing hallucination in large vision-language models via mod- ular attribution and intervention

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:32.037314Z

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Observation 125a3493-175f-4d3b-97c2-4aa1791f60fe · outbound

This paper cites mplug-owl2: Revolutionizing multi-modal large lan- guage model with modality collaboration, 2023.

Energy-Guided Decoding for Object Hallucination Mitigation mplug-owl2: Revolutionizing multi-modal large lan- guage model with modality collaboration, 2023

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:31.794917Z

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Observation e6e736bd-4e93-43c0-b1b6-97b0e7215400 · outbound

This paper cites Woodpecker: Hallucination Correction for Multimodal Large Language Models.

Energy-Guided Decoding for Object Hallucination Mitigation Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:30.046782Z

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Observation 71d19830-9d6d-4bc9-89af-5e52db027817 · outbound

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

Energy-Guided Decoding for Object Hallucination Mitigation LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:30.129134Z

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Energy-Guided Decoding for Object Hallucination Mitigation Debiasing Multimodal Large Language Models via Penalization of Language Priors

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Energy-Guided Decoding for Object Hallucination Mitigation Yes” or “No

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Energy-Guided Decoding for Object Hallucination Mitigation Unresolved cited work

Reference 2023

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