Papers807

T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground

Dmitrii Stoianov, Danil Taranets et al.Dec 11arXiv

T-pro 2.0 is an open Russian language model that can answer quickly or think step by step, so you can pick speed or accuracy when you need it.

#T-pro 2.0#Russian LLM#Hybrid reasoning

SWAA: Sliding Window Attention Adaptation for Efficient Long-Context LLMs Without Pretraining

Intermediate

Yijiong Yu, Jiale Liu et al.Dec 11arXiv

Long texts make standard attention in large language models very slow because it checks every word against every other word.

#Sliding Window Attention#SWAA#FA Decode

Openpi Comet: Competition Solution For 2025 BEHAVIOR Challenge

Intermediate

Junjie Bai, Yu-Wei Chao et al.Dec 10arXiv

This paper shows how to make home-helper robots better at long, multi-step chores by smart training on diverse tasks and by polishing the model after training using its own best attempts.

#Vision-Language-Action#long-horizon manipulation#rejection sampling fine-tuning

HiF-VLA: Hindsight, Insight and Foresight through Motion Representation for Vision-Language-Action Models

Intermediate

Minghui Lin, Pengxiang Ding et al.Dec 10arXiv

Robots often act like goldfish with short memories; HiF-VLA fixes this by letting them use motion to remember the past and predict the future.

#Vision-Language-Action#motion vectors#temporal reasoning

UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous Driving

Intermediate

Hao Lu, Ziyang Liu et al.Dec 10arXiv

UniUGP is a single system that learns to understand road scenes, explain its thinking, plan safe paths, and even imagine future video frames.

#UniUGP#vision-language-action#world model

Composing Concepts from Images and Videos via Concept-prompt Binding

Intermediate

Xianghao Kong, Zeyu Zhang et al.Dec 10arXiv

This paper introduces BiCo, a one-shot way to mix ideas from images and videos by tightly tying each visual idea to the exact words in a prompt.

#BiCo#concept binding#token-level composition

MOA: Multi-Objective Alignment for Role-Playing Agents

Intermediate

Chonghua Liao, Ke Wang et al.Dec 10arXiv

Role-playing agents need to juggle several goals at once, like staying in character, following instructions, and using the right tone.

#multi-objective alignment#role-playing agents#reinforcement learning

MentraSuite: Post-Training Large Language Models for Mental Health Reasoning and Assessment

Intermediate

Mengxi Xiao, Kailai Yang et al.Dec 10arXiv

MentraSuite is a complete toolkit that teaches large language models (LLMs) to reason about mental health step by step, not just sound caring.

#mental health reasoning#LLM post-training#supervised fine-tuning

Rethinking Chain-of-Thought Reasoning for Videos

Intermediate

Yiwu Zhong, Zi-Yuan Hu et al.Dec 10arXiv

The paper shows that video AIs do not need long, human-like chains of thought to reason well.

#video reasoning#chain-of-thought#concise reasoning

LLaDA2.0: Scaling Up Diffusion Language Models to 100B

Intermediate

Tiwei Bie, Maosong Cao et al.Dec 10arXiv

Before this work, most big language models talked one word at a time (autoregressive), which made them slow and hard to parallelize.

#diffusion language model#masked diffusion#block diffusion

OmniPSD: Layered PSD Generation with Diffusion Transformer

Intermediate

Cheng Liu, Yiren Song et al.Dec 10arXiv

OmniPSD is a new AI that can both make layered Photoshop (PSD) files from words and take apart a flat image into clean, editable layers.

#OmniPSD#layered PSD generation#RGBA-VAE

Learning Unmasking Policies for Diffusion Language Models

Intermediate

Metod Jazbec, Theo X. Olausson et al.Dec 9arXiv

Diffusion language models write by gradually unmasking hidden words, so deciding which blanks to reveal next is a big deal for both speed and accuracy.

#diffusion language models#masked diffusion#unmasking policy

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