:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cao, Lang, Liu, Hanbing
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2501.19378
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAG or Learning? Understanding the Limits of LLM Adaptation under Continuous Knowledge Drift in the Real World
by: Liu, Hanbing, et al.
Published: (2026)

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models
by: Hu, Zhiyuan, et al.
Published: (2024)

OmChat: A Recipe to Train Multimodal Language Models with Strong Long Context and Video Understanding
by: Zhao, Tiancheng, et al.
Published: (2024)

TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
by: Yi, Deyin, et al.
Published: (2025)

TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models
by: Cao, Jiahuan, et al.
Published: (2024)

"Înţelegi Româneşte?'' A Recipe for Romanian Vision-Language Models
by: Masala, Mihai, et al.
Published: (2026)

Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
by: Cao, Lang
Published: (2023)

AllMem: A Memory-centric Recipe for Efficient Long-context Modeling
by: Wang, Ziming, et al.
Published: (2026)

Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models
by: Parmar, Jupinder, et al.
Published: (2024)

A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models
by: Lin, Peiqin, et al.
Published: (2024)

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
by: Maini, Pratyush, et al.
Published: (2024)

TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
by: He, Xinyi, et al.
Published: (2025)

Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models
by: Cao, Bin, et al.
Published: (2026)

Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning
by: Liu, Hanbing, et al.
Published: (2025)

Making Hybrid Languages: A Recipe
by: Andersen, Leif, et al.
Published: (2024)

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study
by: Vij, Anneketh, et al.
Published: (2025)

InfiR2: A Comprehensive FP8 Training Recipe for Reasoning-Enhanced Language Models
by: Wang, Wenjun, et al.
Published: (2025)

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants
by: Zhang, Yiqun, et al.
Published: (2025)

ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models
by: He, Qianyu, et al.
Published: (2025)

MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes
by: Zhao, Changsheng, et al.
Published: (2025)

LongAlign: A Recipe for Long Context Alignment of Large Language Models
by: Bai, Yushi, et al.
Published: (2024)

A Design Recipe and Recipe-Based Errors for Regular Expressions
by: Morazán, Marco T., et al.
Published: (2025)

The Digital Sous Chef -- A Comparative Study on Fine-Tuning Language Models for Recipe Generation
by: Pundhir, Shubham, et al.
Published: (2025)

Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
by: Gao, Lang, et al.
Published: (2024)

TableRAG: Million-Token Table Understanding with Language Models
by: Chen, Si-An, et al.
Published: (2024)

How Do Language Models Understand Tables? A Mechanistic Analysis of Cell Location
by: Zhang, Xuanliang, et al.
Published: (2026)

Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
by: Li, Yaxuan, et al.
Published: (2026)

Optimizing Ingredient Substitution Using Large Language Models to Enhance Phytochemical Content in Recipes
by: Rita, Luis, et al.
Published: (2024)

LongSkywork: A Training Recipe for Efficiently Extending Context Length in Large Language Models
by: Zhao, Liang, et al.
Published: (2024)

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
by: Xiao, Yuxin, et al.
Published: (2024)

Rethinking Data Synthesis: A Teacher Model Training Recipe with Interpretation
by: Chen, Yifang, et al.
Published: (2024)

Semantic Triplet Restoration: A Novel Protocol for Hierarchical Table Understanding in Large Language Models
by: Zhao, Yibin, et al.
Published: (2026)

TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models
by: Wang, Jiahao, et al.
Published: (2024)

Uncovering Limitations of Large Language Models in Information Seeking from Tables
by: Pang, Chaoxu, et al.
Published: (2024)

C$^{3}$Bench: A Comprehensive Classical Chinese Understanding Benchmark for Large Language Models
by: Cao, Jiahuan, et al.
Published: (2024)

Cross-Lingual Consistency: A Novel Inference Framework for Advancing Reasoning in Large Language Models
by: Yu, Zhiwei, et al.
Published: (2025)

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
by: Wang, Zilong, et al.
Published: (2024)

Enhancing Action and Ingredient Modeling for Semantically Grounded Recipe Generation
by: Liu, Guoshan, et al.
Published: (2026)

MUTANT: A Recipe for Multilingual Tokenizer Design
by: Rana, Souvik, et al.
Published: (2025)

Ratatouille: A tool for Novel Recipe Generation
by: Goel, Mansi, et al.
Published: (2022)