:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	He, Hongyi, Liu, Xiao, Lin, Zhenghao, Tang, Mingni, Cheng, Yi, Wang, Jintao, Li, Wenjie, Cheng, Peng, Gong, Yeyun
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.18909
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Data and Reward Design for Scientific Reasoning in Large Language Models
by: Chen, Zijie, et al.
Published: (2026)

Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
by: Li, Haoling, et al.
Published: (2024)

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
by: Yang, Kailai, et al.
Published: (2025)

Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
by: Huang, Yiming, et al.
Published: (2024)

Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data
by: Deng, Haoran, et al.
Published: (2025)

Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling
by: Shin, Haebin, et al.
Published: (2025)

Integrative Decoding: Improve Factuality via Implicit Self-consistency
by: Cheng, Yi, et al.
Published: (2024)

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
by: Luo, Yi, et al.
Published: (2024)

Competition-Level Problems are Effective LLM Evaluators
by: Huang, Yiming, et al.
Published: (2023)

Rho-1: Not All Tokens Are What You Need
by: Lin, Zhenghao, et al.
Published: (2024)

Sigma-MoE-Tiny Technical Report
by: Hu, Qingguo, et al.
Published: (2025)

DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments
by: Tang, Wenjie, et al.
Published: (2025)

LayerNorm Induces Recency Bias in Transformer Decoders
by: Kim, Junu, et al.
Published: (2025)

Rethinking Data Selection at Scale: Random Selection is Almost All You Need
by: Xia, Tingyu, et al.
Published: (2024)

From Intention To Implementation: Automating Biomedical Research via LLMs
by: Luo, Yi, et al.
Published: (2024)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)

Process-based Self-Rewarding Language Models
by: Zhang, Shimao, et al.
Published: (2025)

DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections
by: Shin, Haebin, et al.
Published: (2025)

Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model
by: Qian, Cheng, et al.
Published: (2023)

How Does Alignment Enhance LLMs' Multilingual Capabilities? A Language Neurons Perspective
by: Zhang, Shimao, et al.
Published: (2025)

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
by: Luo, Zheheng, et al.
Published: (2024)

Rethinking Machine Unlearning in Image Generation Models
by: Liu, Renyang, et al.
Published: (2025)

Learning Generative Selection for Best-of-N
by: Toshniwal, Shubham, et al.
Published: (2026)

The Strongest Teacher Is Not Always the Best Teacher: Student-Centric Answer Selection
by: Hu, Zhengyu, et al.
Published: (2026)

HiCaM: A Hierarchical-Causal Modification Framework for Long-Form Text Modification
by: Shi, Yuntao, et al.
Published: (2025)

Generative Prompt Internalization
by: Shin, Haebin, et al.
Published: (2024)

Adapting LLM Agents with Universal Feedback in Communication
by: Wang, Kuan, et al.
Published: (2023)

TACOS: Open Tagging and Comparative Scoring for Instruction Fine-Tuning Data Selection
by: He, Xixiang, et al.
Published: (2025)

Pull Requests as a Training Signal for Repo-Level Code Editing
by: Zhu, Qinglin, et al.
Published: (2026)

The Best Instruction-Tuning Data are Those That Fit
by: Zhang, Dylan, et al.
Published: (2025)

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning
by: Park, Sungjin, et al.
Published: (2024)

Curriculum Learning with Quality-Driven Data Selection
by: Wu, Biao, et al.
Published: (2024)

Rethinking Diverse Human Preference Learning through Principal Component Analysis
by: Luo, Feng, et al.
Published: (2025)

Medical Dialogue Generation via Intuitive-then-Analytical Differential Diagnosis
by: Xu, Kaishuai, et al.
Published: (2024)

Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment
by: Xu, Kaishuai, et al.
Published: (2024)

Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities
by: Dai, Qirun, et al.
Published: (2025)

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
by: Gou, Zhibin, et al.
Published: (2023)

Optimizing Large Language Model Training Using FP4 Quantization
by: Wang, Ruizhe, et al.
Published: (2025)

Learning to Align Multi-Faceted Evaluation: A Unified and Robust Framework
by: Xu, Kaishuai, et al.
Published: (2025)

Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs
by: Jiang, Zishang, et al.
Published: (2025)