Papers807

Differentiable Evolutionary Reinforcement Learning

Sitao Cheng, Tianle Li et al.Dec 15arXiv

This paper introduces DERL, a two-level learning system that automatically builds better reward functions for reinforcement learning agents.

#Differentiable Evolutionary Reinforcement Learning#Meta-Optimizer#Meta-Reward

FIN-bench-v2: A Unified and Robust Benchmark Suite for Evaluating Finnish Large Language Models

Intermediate

Joona Kytöniemi, Jousia Piha et al.Dec 15arXiv

FIN-bench-v2 is a big, tidy set of Finnish tests that checks how good large language models are at many things like reading, logic, and world knowledge.

#Finnish language models#benchmark suite#HuggingFace Datasets

KlingAvatar 2.0 Technical Report

Intermediate

Kling Team, Jialu Chen et al.Dec 15arXiv

KlingAvatar 2.0 is a system that makes long, sharp, lifelike talking-person videos that follow audio, images, and text instructions all at once.

#audio-driven avatar#video diffusion#diffusion transformer

ShowTable: Unlocking Creative Table Visualization with Collaborative Reflection and Refinement

Intermediate

Zhihang Liu, Xiaoyi Bao et al.Dec 15arXiv

ShowTable is a new way for AI to turn a data table into a beautiful, accurate infographic using a think–make–check–fix loop.

#creative table visualization#multimodal large language model#diffusion model

Video Reality Test: Can AI-Generated ASMR Videos fool VLMs and Humans?

Intermediate

Jiaqi Wang, Weijia Wu et al.Dec 15arXiv

This paper builds a new test called Video Reality Test to see if AI-made ASMR videos can fool both people and AI video watchers (VLMs).

#ASMR#audio-visual coupling#AI-generated video detection

Toward Ambulatory Vision: Learning Visually-Grounded Active View Selection

Intermediate

Juil Koo, Daehyeon Choi et al.Dec 15arXiv

This paper teaches robots to move their camera to a better spot before answering a question about what they see.

#Active Perception#Embodied AI#Vision-Language Models

WAY: Estimation of Vessel Destination in Worldwide AIS Trajectory

Intermediate

Jin Sob Kim, Hyun Joon Park et al.Dec 15arXiv

Ships constantly broadcast AIS messages, but these messages are messy, unevenly spaced in time, and sometimes wrong.

#AIS trajectory#vessel destination prediction#nested sequence

Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows

Intermediate

Haoyu Dong, Pengkun Zhang et al.Dec 15arXiv

FINCH is a new test that checks whether AI can handle real finance and accounting work using messy, real spreadsheets, emails, PDFs, charts, and more.

#FINCH benchmark#finance and accounting AI#spreadsheet agents

Spatial-Aware VLA Pretraining through Visual-Physical Alignment from Human Videos

Intermediate

Yicheng Feng, Wanpeng Zhang et al.Dec 15arXiv

Robots often see the world as flat pictures but must move in a 3D world, which makes accurate actions hard.

#Vision-Language-Action#3D spatial grounding#visual-physical alignment

GTR-Turbo: Merged Checkpoint is Secretly a Free Teacher for Agentic VLM Training

Intermediate

Tong Wei, Yijun Yang et al.Dec 15arXiv

GTR-Turbo teaches a vision-language agent using a 'free teacher' made by merging its own past checkpoints, so no costly external model is needed.

#GTR-Turbo#checkpoint merging#TIES-merging

Few-Step Distillation for Text-to-Image Generation: A Practical Guide

Intermediate

Yifan Pu, Yizeng Han et al.Dec 15arXiv

Big text-to-image models make amazing pictures but are slow because they take hundreds of tiny steps to turn noise into an image.

#text-to-image#diffusion models#few-step generation

QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management

Intermediate

Weizhou Shen, Ziyi Yang et al.Dec 15arXiv

QwenLong-L1.5 is a training recipe that helps AI read and reason over very long documents by improving the data it learns from, the way it is trained, and how it remembers important stuff.

#long-context reasoning#reinforcement learning#GRPO

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