Papers43

#supervised fine-tuning

Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment

Yuming Yang, Mingyoung Lai et al.Jan 20arXiv

The paper asks a simple question: Which step-by-step explanations from a teacher model actually help a student model learn to reason better?

#Rank-Surprisal Ratio#data-student suitability#chain-of-thought distillation

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Advances and Frontiers of LLM-based Issue Resolution in Software Engineering: A Comprehensive Survey

Beginner

Caihua Li, Lianghong Guo et al.Jan 15arXiv

This paper is the first big map of how AI can fix real software problems, not just write short code snippets.

#SWE-bench#issue resolution#AI coding agents

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TranslateGemma Technical Report

Intermediate

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

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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

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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

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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

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Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction

Beginner

Muzhao Tian, Zisu Huang et al.Jan 8arXiv

Long-term AI helpers remember past chats, but using all memories can trap them in old ideas (Memory Anchoring).

#steerable memory#memory anchoring#long-term agents

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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

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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

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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

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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

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Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding

Beginner

Jiaqi Tang, Jianmin Chen et al.Dec 19arXiv

Robust-R1 teaches vision-language models to notice how a picture is damaged, think through what that damage hides, and then answer as if the picture were clear.

#Robust-R1#degradation-aware reasoning#multimodal large language models

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