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# System prepended metadata

title: iThome 2024 (AI)

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## RAG

1. [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](/Wc5x0NzeQr-qf2vsbLAddQ)
2. [Retrieval-Augmented Multimodal Language Modeling](/mQWz-dNORESEOOfOgQDOfA)
3. [Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering](/roNR2JbMRFyAHuu9hJcwiw)
4. [Recommender Systems with Generative Retrieval](/q_ekfDxBSKajATUuON4bHg)
5. [Recitation-Augmented Language Models](/bujSGMFtSwyH8HnMYVCK_w)
6. [Benchmarking Large Language Models in Retrieval-Augmented Generation](/NffAobIgRTelnlbBFa5uWQ)
7. [Diversify Question Generation with Retrieval-Augmented Style Transfer](/pWQuZNn_RUGcDB2XNodynw)

## RL

1. Reward Design with Language Models
2. Pre-Trained Language Models for Interactive Decision-Making
3. Guiding Pretraining in Reinforcement Learning with Large Language Models
4. Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning
5. TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning
6. OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning
7. ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation

## Multi-model

1. RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation
2. Learning to Answer Questions in Dynamic Audio-Visual Scenarios
3. Evaluating Object Hallucination in Large Vision-Language Models
4. Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering
5. Visual Instruction Tuning
6. ILLUME: Rationalizing Vision-Language Models through Human Interactions
7. PaLM-E: An Embodied Multimodal Language Model

## Graph

1. MolCA: Molecular graph-language modeling with cross- modal projector and uni-modal adapter
2. Harnessing explanations: Llm-to-lm interpreter for enhanced text-attributed graph representation learning
3. Reasoning on graphs: Faithful and interpretable large language model reasoning
4. Graph of Thoughts: Solving Elaborate Problems with Large Language Models
5. StructGPT: A General Framework for Large Language Model to Reason over Structured Data
6. Graph Neural Prompting with Large Language Models
7. Talk like a Graph: Encoding Graphs for Large Language Models