Papers26

#supervised fine-tuning

TranslateGemma Technical Report

Mara Finkelstein, Isaac Caswell et al.Jan 13arXiv

TranslateGemma is a family of open machine translation models fine-tuned from Gemma 3 to translate many languages more accurately.

#machine translation#TranslateGemma#Gemma 3

X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests

Intermediate

Jie Wu, Haoling Li et al.Jan 11arXiv

X-Coder shows that models can learn expert-level competitive programming using data that is 100% synthetic—no real contest problems needed.

#competitive programming#synthetic data generation#feature-based synthesis

An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift

Intermediate

Constantinos Karouzos, Xingwei Tan et al.Jan 9arXiv

Preference tuning teaches language models to act the way people like, but those habits can fall apart when the topic or style changes (domain shift).

#preference tuning#domain shift#supervised fine-tuning

EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis

Intermediate

Xiaoshuai Song, Haofei Chang et al.Jan 9arXiv

EnvScaler is an automatic factory that builds many safe, rule-following practice worlds where AI agents can talk to users and call tools, just like real apps.

#EnvScaler#tool-interactive environments#programmatic synthesis

TCAndon-Router: Adaptive Reasoning Router for Multi-Agent Collaboration

Intermediate

Jiuzhou Zhao, Chunrong Chen et al.Jan 8arXiv

Multi-agent systems are like teams of expert helpers; the tricky part is choosing which helpers to ask for each question.

#multi-agent systems#routing#reasoning chain

Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting

Intermediate

Muxi Diao, Lele Yang et al.Jan 5arXiv

Supervised fine-tuning (SFT) often makes a model great at a new task but worse at its old skills; this paper explains a key reason why and how to fix it.

#Entropy-Adaptive Fine-Tuning#confident conflicts#token-level entropy

Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem

Intermediate

Weixun Wang, XiaoXiao Xu et al.Dec 31arXiv

This paper builds an open, end-to-end ecosystem (ALE) that lets AI agents plan, act, and fix their own mistakes across many steps in real computer environments.

#agentic LLMs#reinforcement learning#IPA

Training AI Co-Scientists Using Rubric Rewards

Intermediate

Shashwat Goel, Rishi Hazra et al.Dec 29arXiv

The paper teaches AI to write strong research plans by letting it grade its own work using checklists (rubrics) pulled from real scientific papers.

#AI co-scientist#research plan generation#rubric rewards

Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model

Intermediate

Team Seedance, Heyi Chen et al.Dec 15arXiv

Seedance 1.5 pro is a single model that makes video and sound together at the same time, so lips, music, and actions match naturally.

#audio-visual generation#diffusion transformer#cross-modal synchronization

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

From Macro to Micro: Benchmarking Microscopic Spatial Intelligence on Molecules via Vision-Language Models

Intermediate

Zongzhao Li, Xiangzhe Kong et al.Dec 11arXiv

The paper defines Microscopic Spatial Intelligence (MiSI) as the skill AI needs to understand tiny 3D things like molecules from 2D pictures and text, just like scientists do.

#microscopic spatial intelligence#vision-language models#orthographic projection

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

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