:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Ha, Huy Hoang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2503.13661
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hint Tuning: Less Data Makes Better Reasoners
by: Fan, Siqi, et al.
Published: (2026)

Less Finetuning, Better Retrieval: Rethinking LLM Adaptation for Biomedical Retrievers via Synthetic Data and Model Merging
by: Khattab, Sameh, et al.
Published: (2026)

MedMeta: A Benchmark for LLMs in Synthesizing Meta-Analysis Conclusion from Medical Studies
by: Ha, Huy Hoang, et al.
Published: (2026)

Rethinking LLM Evaluation: Can We Evaluate LLMs with 200x Less Data?
by: Wang, Shaobo, et al.
Published: (2025)

When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
by: Zhao, Weixiang, et al.
Published: (2025)

Ichigo: Mixed-Modal Early-Fusion Realtime Voice Assistant
by: Dao, Alan, et al.
Published: (2024)

The Harder The Better: Maintaining Supervised Fine-tuning Generalization with Less but Harder Data
by: Shang, Zhaoyang, et al.
Published: (2025)

Less Data Less Tokens: Multilingual Unification Learning for Efficient Test-Time Reasoning in LLMs
by: Chen, Kang, et al.
Published: (2025)

Making Bielik LLM Reason (Better): A Field Report
by: Trybus, Adam, et al.
Published: (2026)

More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative Reasoning
by: Shafiei, Mohammadamin, et al.
Published: (2025)

Qwen vs. Gemma Integration with Whisper: A Comparative Study in Multilingual SpeechLLM Systems
by: Nguyen, Tuan, et al.
Published: (2025)

Mitigating Data Scarcity in Psychological Defense Classification with Context-Aware Synthetic Augmentation
by: Vu, Hoang-Thuy-Duong, et al.
Published: (2026)

Learning From Mistakes Makes LLM Better Reasoner
by: An, Shengnan, et al.
Published: (2023)

Learning to Adapt SFT Data for Better Reasoning Generalization
by: Sun, Lisong, et al.
Published: (2026)

Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention
by: Yang, Zhen, et al.
Published: (2025)

Better LLM Reasoning via Dual-Play
by: Zhang, Zhengxin, et al.
Published: (2025)

Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
by: Liu, Yong, et al.
Published: (2024)

Adaptive Stopping for Multi-Turn LLM Reasoning
by: Zhou, Xiaofan, et al.
Published: (2026)

FABSVer: Faster Training and Better Self-Verification for LLM Mathematical Reasoning
by: Pan, Haihui, et al.
Published: (2026)

Rethinking Data: Towards Better Performing Domain-Specific Small Language Models
by: Nazarov, Boris, et al.
Published: (2025)

Less is More: The Effectiveness of Compact Typological Language Representations
by: Ng, York Hay, et al.
Published: (2025)

LIMO: Less is More for Reasoning
by: Ye, Yixin, et al.
Published: (2025)

Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning
by: Akgül, Ömer Faruk, et al.
Published: (2026)

Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts
by: Zhang, Xue, et al.
Published: (2025)

Are Finer Citations Always Better? Rethinking Granularity for Attributed Generation
by: Wang, Hexuan, et al.
Published: (2026)

Rethinking Tokenization: Crafting Better Tokenizers for Large Language Models
by: Yang, Jinbiao
Published: (2024)

Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?
by: Wang, Qineng, et al.
Published: (2024)

More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning
by: Zhao, Yike, et al.
Published: (2025)

LLM-Based Data Generation and Clinical Skills Evaluation for Low-Resource French OSCEs
by: Huang, Tian, et al.
Published: (2026)

Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization
by: Chen, Qianben, et al.
Published: (2026)

Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework
by: Zhang, Chenyuan, et al.
Published: (2026)

Safety Compliance: Rethinking LLM Safety Reasoning through the Lens of Compliance
by: Hu, Wenbin, et al.
Published: (2025)

Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning
by: Ding, Bowen, et al.
Published: (2025)

PoseLess: Depth-Free Vision-to-Joint Control via Direct Image Mapping with VLM
by: Dao, Alan, et al.
Published: (2025)

Less Is More: Cognitive Load and the Single-Prompt Ceiling in LLM Mathematical Reasoning
by: Cazares, Manuel Israel
Published: (2026)

Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection
by: Shen, Lingzhi, et al.
Published: (2025)

Reason to Rote: Rethinking Memorization in Reasoning
by: Du, Yupei, et al.
Published: (2025)

Data Augmented Pipeline for Legal Information Extraction and Reasoning
by: Phuong, Nguyen Minh, et al.
Published: (2026)

Less is More: Improving LLM Alignment via Preference Data Selection
by: Deng, Xun, et al.
Published: (2025)

Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling
by: Bansal, Hritik, et al.
Published: (2024)