Papers30

#Chain-of-Thought

OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought Verification

Zijian Wu, Lingkai Kong et al.Dec 11arXiv

Big AI models often write very long step-by-step solutions, but usual checkers either only check the final answer or get lost in the long steps.

#Outcome-based Process Verifier#Chain-of-Thought#Process Verification

Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving

Intermediate

Songyang Gao, Yuzhe Gu et al.Dec 11arXiv

This paper builds a math problem–solving agent, Intern-S1-MO, that thinks in multiple rounds and remembers proven mini-results called lemmas so it can solve very long, Olympiad-level problems.

#long-horizon reasoning#lemma-based memory#multi-agent reasoning

LEO-RobotAgent: A General-purpose Robotic Agent for Language-driven Embodied Operator

Intermediate

Lihuang Chen, Xiangyu Luo et al.Dec 11arXiv

LEO-RobotAgent is a simple but powerful framework that lets a language model think, plan, and operate many kinds of robots using natural language.

#LEO-RobotAgent#language-driven robotics#LLM agent

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

From Segments to Scenes: Temporal Understanding in Autonomous Driving via Vision-Language Model

Intermediate

Kevin Cannons, Saeed Ranjbar Alvar et al.Dec 4arXiv

This paper builds TAD, a brand-new test that checks if AI can understand what happens over time in real driving videos.

#Temporal understanding#Autonomous driving#Vision-language models

ReVSeg: Incentivizing the Reasoning Chain for Video Segmentation with Reinforcement Learning

Intermediate

Yifan Li, Yingda Yin et al.Dec 2arXiv

ReVSeg teaches an AI to segment objects in videos by thinking step-by-step instead of guessing everything at once.

#Reasoning Video Object Segmentation#Vision-Language Models#Temporal Grounding

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