APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
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2212.07249
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Jiashuo Sun
gasolsun
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LLMs
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APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
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Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in
Large Language Models
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Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for
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gasolsun's activity
authored
10
papers
4 days ago
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
Paper
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2304.11657
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Published
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
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2403.11838
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Published
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation
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2408.00555
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Published
From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models
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2503.06260
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Published
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
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2307.07697
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Published
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM
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2408.12076
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Published
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12
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning
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2408.17150
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Published
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information
Paper
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2409.14083
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Published
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
Paper
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2505.07233
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Published
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