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