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#instruction following

Reasoning Models Struggle to Control their Chains of Thought

Beginner

Chen Yueh-Han, Robert McCarthy et al.Mar 5arXiv

The paper studies whether AI models can hide or reshape their step-by-step thoughts (chains of thought) on command.

#chain-of-thought#controllability#monitorability

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On-Policy Self-Distillation for Reasoning Compression

Beginner

Hejian Sang, Yuanda Xu et al.Mar 5arXiv

Reasoning models often talk too much, and those extra words can actually make them more wrong.

#on-policy self-distillation#reasoning compression#conciseness instruction

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CL-bench: A Benchmark for Context Learning

Beginner

Shihan Dou, Ming Zhang et al.Feb 3arXiv

CL-bench is a new test that checks whether AI can truly learn new things from the information you give it right now, not just from what it memorized before.

#context learning#benchmark#rubric-based evaluation

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AgentIF-OneDay: A Task-level Instruction-Following Benchmark for General AI Agents in Daily Scenarios

Beginner

Kaiyuan Chen, Qimin Wu et al.Jan 28arXiv

This paper builds a new test called AgentIF-OneDay that checks if AI helpers can follow everyday instructions the way people actually give them.

#AgentIF-OneDay#instruction following#AI agents

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ThinkRL-Edit: Thinking in Reinforcement Learning for Reasoning-Centric Image Editing

Beginner

Hengjia Li, Liming Jiang et al.Jan 6arXiv

ThinkRL-Edit teaches an image editor to think first and draw second, which makes tricky, reasoning-heavy edits much more accurate.

#reasoning-centric image editing#reinforcement learning#chain-of-thought

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VINO: A Unified Visual Generator with Interleaved OmniModal Context

Beginner

Junyi Chen, Tong He et al.Jan 5arXiv

VINO is a single AI model that can make and edit both images and videos by listening to text and looking at reference pictures and clips at the same time.

#VINO#unified visual generator#multimodal diffusion transformer

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T2AV-Compass: Towards Unified Evaluation for Text-to-Audio-Video Generation

Beginner

Zhe Cao, Tao Wang et al.Dec 24arXiv

T2AV-Compass is a new, unified test to fairly grade AI systems that turn text into matching video and audio.

#Text-to-Audio-Video generation#multimodal evaluation#cross-modal alignment

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