content.raw: Here is my selection of papers for today (12 Jan)
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content.value: Here is my selection of papers for today (12 Jan)
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content.href: https://huggingface.co/papers
content.raw: https://huggingface.co/papers
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content.raw: PALP: Prompt Aligned Personalization of Text-to-Image Models
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content.value: PALP: Prompt Aligned Personalization of Text-to-Image Models
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content.raw: Object-Centric Diffusion for Efficient Video Editing
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content.value: Object-Centric Diffusion for Efficient Video Editing
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content.raw: TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering
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content.value: TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering
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content.raw: Diffusion Priors for Dynamic View Synthesis from Monocular Videos
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content.value: Diffusion Priors for Dynamic View Synthesis from Monocular Videos
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content.raw: Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
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content.value: Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
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content.raw: TOFU: A Task of Fictitious Unlearning for LLMs
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content.value: TOFU: A Task of Fictitious Unlearning for LLMs
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content.raw: Patchscope: A Unifying Framework for Inspecting Hidden Representations of Language Models
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content.value: Patchscope: A Unifying Framework for Inspecting Hidden Representations of Language Models
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content.raw: Secrets of RLHF in Large Language Models Part II: Reward Modeling
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content.value: Secrets of RLHF in Large Language Models Part II: Reward Modeling
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content.raw: LEGO:Language Enhanced Multi-modal Grounding Model
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content.value: LEGO:Language Enhanced Multi-modal Grounding Model
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content.raw: DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
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content.value: DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
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content.raw: Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
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content.value: Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
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content.raw: A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
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content.value: A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
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content.raw: Towards Conversational Diagnostic AI
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content.value: Towards Conversational Diagnostic AI
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content.raw: Transformers are Multi-State RNNs
content.type: text
content.value: Transformers are Multi-State RNNs
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content.raw: Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
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content.value: Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
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content.raw: Distilling Vision-Language Models on Millions of Videos
content.type: text
content.value: Distilling Vision-Language Models on Millions of Videos
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content.raw: Efficient LLM inference solution on Intel GPU
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content.value: Efficient LLM inference solution on Intel GPU
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content.raw: TrustLLM: Trustworthiness in Large Language Models
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content.value: TrustLLM: Trustworthiness in Large Language Models
rawContent: Here is my selection of papers for today (12 Jan)
  
  https://huggingface.co/papers
  
  PALP: Prompt Aligned Personalization of Text-to-Image Models
  
  Object-Centric Diffusion for Efficient Video Editing
  
  TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering
  
  Diffusion Priors for Dynamic View Synthesis from Monocular Videos
  
  Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
  
  TOFU: A Task of Fictitious Unlearning for LLMs
  
  Patchscope: A Unifying Framework for Inspecting Hidden Representations of Language Models
  
  Secrets of RLHF in Large Language Models Part II: Reward Modeling
  
  LEGO:Language Enhanced Multi-modal Grounding Model
  
  DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
  
  Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
  
  A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
  
  Towards Conversational Diagnostic AI
  
  Transformers are Multi-State RNNs
  
  Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
  
  Distilling Vision-Language Models on Millions of Videos
  
  Efficient LLM inference solution on Intel GPU
  
  TrustLLM: Trustworthiness in Large Language Models
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