:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Twist, Lukas, Yang, Shu, Yan, Hanqi, Gong, Jingzhi, Wang, Di, Yannakoudakis, Helen, Zhang, Jie M.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2601.21894
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reasoning-Trace Collapse: Evaluating the Loss of Explicit Reasoning During Fine-Tuning
by: Twist, Lukas, et al.
Published: (2026)

Not All LLM Reasoners Are Created Equal
by: Hosseini, Arian, et al.
Published: (2024)

A Function-Centric Perspective on Flat and Sharp Minima
by: Mason-Williams, Israel, et al.
Published: (2025)

Not All Negative Samples Are Equal: LLMs Learn Better from Plausible Reasoning
by: Di, Zixiang, et al.
Published: (2026)

Learning New Tasks from a Few Examples with Soft-Label Prototypes
by: Singh, Avyav Kumar, et al.
Published: (2022)

Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification
by: Kuo, Hsun-Yu, et al.
Published: (2024)

A Study of LLMs' Preferences for Libraries and Programming Languages
by: Twist, Lukas, et al.
Published: (2025)

Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
by: Ashiga, Mari, et al.
Published: (2025)

A Functional Perspective on Knowledge Distillation in Neural Networks
by: Mason-Williams, Israel, et al.
Published: (2025)

MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science
by: Xu, Ran, et al.
Published: (2025)

The Impact of Off-Policy Training Data on Probe Generalisation
by: Kirch, Nathalie, et al.
Published: (2025)

Not All Bits Are Equal: Scale-Dependent Memory Optimization Strategies for Reasoning Models
by: Kim, Junhyuck, et al.
Published: (2025)

QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation
by: Zhu, Yaoyu, et al.
Published: (2025)

All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN
by: Wang, Shilong, et al.
Published: (2024)

From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization
by: Chen, Xinjie, et al.
Published: (2025)

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
by: Yang, Dayu, et al.
Published: (2025)

Let the Code LLM Edit Itself When You Edit the Code
by: He, Zhenyu, et al.
Published: (2024)

Deep Configuration Performance Learning: A Systematic Survey and Taxonomy
by: Gong, Jingzhi, et al.
Published: (2024)

A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection
by: Verhoeven, Ivo, et al.
Published: (2024)

Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning
by: Gong, Jingzhi, et al.
Published: (2024)

Selective Matching Losses -- Not All Scores Are Created Equal
by: Shamir, Gil I., et al.
Published: (2025)

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection
by: Kang, Jiawen, et al.
Published: (2024)

PurpCode: Reasoning for Safer Code Generation
by: Liu, Jiawei, et al.
Published: (2025)

Not All Invariants Are Equal: Curating Training Data to Accelerate Program Verification with SLMs
by: Pinto, Ido, et al.
Published: (2026)

DAJ: Data-Reweighted LLM Judge for Test-Time Scaling in Code Generation
by: Qin, Peijia, et al.
Published: (2026)

A Study of Library Usage in Agent-Authored Pull Requests
by: Twist, Lukas, et al.
Published: (2025)

CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
by: Wei, Anjiang, et al.
Published: (2025)

CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
by: Yan, Kaiwen, et al.
Published: (2025)

Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning
by: Tsai, Yun-Da, et al.
Published: (2024)

ReST-RL: Achieving Accurate Code Reasoning of LLMs with Optimized Self-Training and Decoding
by: Zhoubian, Sining, et al.
Published: (2025)

All Code, No Thought: Current Language Models Struggle to Reason in Ciphered Language
by: Guo, Shiyuan, et al.
Published: (2025)

Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
by: Baumgart, Gustav A., et al.
Published: (2024)

Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting
by: Zhang, Xingyu, et al.
Published: (2024)

Code-Centric Detection of Vulnerability-Fixing Commits: A Unified Benchmark and Empirical Study
by: Loose, Nils, et al.
Published: (2026)

Unified Error Correction Code Transformer with Low Complexity
by: Yan, Yongli, et al.
Published: (2024)

Adaptive Token-Weighted Differential Privacy for LLMs: Not All Tokens Require Equal Protection
by: Yu, Manjiang, et al.
Published: (2025)

ReCode: Reinforcing Code Generation with Reasoning-Process Rewards
by: Fan, Lishui, et al.
Published: (2025)

Towards Effective Code-Integrated Reasoning
by: Bai, Fei, et al.
Published: (2025)

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Reward Models
by: Zhu, Xiao, et al.
Published: (2026)

Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Open Source Data from PHM Data Challenges: A Review
by: Su, Hanqi, et al.
Published: (2023)