Papers1055

All Beginner Intermediate Advanced

All Sources arXiv

Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models

Intermediate

Anmol Goel, Cornelius Emde et al.Jan 21arXiv

Benign fine-tuning meant to make language models more helpful can accidentally make them overshare private information.

#contextual privacy#privacy collapse#fine-tuning

LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries

Intermediate

Shijie Lian, Bin Yu et al.Jan 21arXiv

Robots often learn a bad habit called the vision shortcut: they guess the task just by looking, and ignore the words you tell them.

#Vision-Language-Action#Bayesian decomposition#Latent Action Queries

Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning

Intermediate

Yifan Wang, Shiyu Li et al.Jan 21arXiv

Render-of-Thought (RoT) turns the model’s step-by-step thinking from long text into slim images so the model can think faster with fewer tokens.

#Render-of-Thought#Chain-of-Thought#Latent Reasoning

HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding

Intermediate

Haowei Zhang, Shudong Yang et al.Jan 21arXiv

HERMES is a training-free way to make video-language models understand live, streaming video quickly and accurately.

#HERMES#KV cache#hierarchical memory

GutenOCR: A Grounded Vision-Language Front-End for Documents

Intermediate

Hunter Heidenreich, Ben Elliott et al.Jan 20arXiv

GutenOCR turns a general vision-language model into a single, smart OCR front-end that can read, find, and point to text on a page using simple prompts.

#grounded OCR#vision-language model#document understanding

Quantifying Speaker Embedding Phonological Rule Interactions in Accented Speech Synthesis

Intermediate

Thanathai Lertpetchpun, Yoonjeong Lee et al.Jan 20arXiv

The paper shows how to control accents in text-to-speech (TTS) by mixing simple, linguistics-based sound-change rules with speaker embeddings.

#text-to-speech#accent control#phonological rules

Implicit Neural Representation Facilitates Unified Universal Vision Encoding

Intermediate

Matthew Gwilliam, Xiao Wang et al.Jan 20arXiv

This paper introduces HUVR, a single vision model that can both recognize what’s in an image and reconstruct or generate images from tiny codes.

#Implicit Neural Representation#Hyper-Networks#Vision Transformer

VideoMaMa: Mask-Guided Video Matting via Generative Prior

Intermediate

Sangbeom Lim, Seoung Wug Oh et al.Jan 20arXiv

VideoMaMa is a model that turns simple black-and-white object masks into soft, precise cutouts (alpha mattes) for every frame of a video.

#video matting#alpha matte#binary segmentation mask

Motion 3-to-4: 3D Motion Reconstruction for 4D Synthesis

Intermediate

Hongyuan Chen, Xingyu Chen et al.Jan 20arXiv

Motion 3-to-4 turns a single regular video into a moving 3D object over time (a 4D asset) by first getting the object’s shape and then figuring out how every part moves.

#4D synthesis#monocular video#motion reconstruction

LightOnOCR: A 1B End-to-End Multilingual Vision-Language Model for State-of-the-Art OCR

Intermediate

Said Taghadouini, Adrien Cavaillès et al.Jan 20arXiv

LightOnOCR-2-1B is a single, compact AI model that reads PDF pages and scans and turns them into clean, well-ordered text without using fragile multi-step OCR pipelines.

#LightOnOCR-2-1B#end-to-end OCR#vision-language model

OmniTransfer: All-in-one Framework for Spatio-temporal Video Transfer

Intermediate

Pengze Zhang, Yanze Wu et al.Jan 20arXiv

OmniTransfer is a single system that learns from a whole reference video, not just one image, so it can copy how things look (identity and style) and how they move (motion, camera, effects).

#spatio-temporal video transfer#identity transfer#style transfer

Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment

Intermediate

Yuming Yang, Mingyoung Lai et al.Jan 20arXiv

The paper asks a simple question: Which step-by-step explanations from a teacher model actually help a student model learn to reason better?

#Rank-Surprisal Ratio#data-student suitability#chain-of-thought distillation

43 44 45 46 47