Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirect
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Visual In-Context Prompting
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Aligning Text-to-Image Diffusion Models with Reward Backpropagation
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Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with
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LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes
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Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to
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CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion
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The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
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RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augment
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The Consensus Game: Language Model Generation via Equilibrium Search
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AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort
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ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation
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ReFT: Reasoning with Reinforced Fine-Tuning
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Kosmos-G: Generating Images in Context with Multimodal Large Language Models
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In-Context Learning Creates Task Vectors
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Controlled Decoding from Language Models
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Retrieval meets Long Context Large Language Models
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PALP: Prompt Aligned Personalization of Text-to-Image Models
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Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
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GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
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Approximating Two-Layer Feedforward Networks for Efficient Transformers
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Compressing Context to Enhance Inference Efficiency of Large Language Models
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Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
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RLVF: Learning from Verbal Feedback without Overgeneralization
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Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
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TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarizat
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Language Models can be Logical Solvers
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Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
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Secrets of RLHF in Large Language Models Part II: Reward Modeling
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KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
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Amortizing intractable inference in large language models
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Memory Consolidation Enables Long-Context Video Understanding
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LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
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Rethinking FID: Towards a Better Evaluation Metric for Image Generation
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UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations
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Asynchronous Local-SGD Training for Language Modeling
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Efficient Tool Use with Chain-of-Abstraction Reasoning
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Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Langua
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FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation