:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zhicheng, Wang, Ziyan, Du, Yali, Fang, Fei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language
Online Access:	https://arxiv.org/abs/2506.20061
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Safe Multi-agent Reinforcement Learning with Natural Language Constraints
by: Wang, Ziyan, et al.
Published: (2024)

Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models
by: Lou, Xingzhou, et al.
Published: (2024)

Evaluating Large Language Models at Evaluating Instruction Following
by: Zeng, Zhiyuan, et al.
Published: (2023)

Compositional Instruction Following with Language Models and Reinforcement Learning
by: Cohen, Vanya, et al.
Published: (2025)

Improving Instruction-Following in Language Models through Activation Steering
by: Stolfo, Alessandro, et al.
Published: (2024)

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
by: Xu, Jiashu, et al.
Published: (2023)

Instruction Following by Principled Boosting Attention of Large Language Models
by: Guardieiro, Vitoria, et al.
Published: (2025)

Instruction Tuning for Large Language Models: A Survey
by: Zhang, Shengyu, et al.
Published: (2023)

Instructional Fingerprinting of Large Language Models
by: Xu, Jiashu, et al.
Published: (2024)

M3HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality
by: Wang, Ziyan, et al.
Published: (2025)

Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models
by: Sun, Haoran, et al.
Published: (2024)

From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
by: Wu, Xuansheng, et al.
Published: (2023)

Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
by: Lee, JoonHo, et al.
Published: (2024)

Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models
by: Qin, Yulei, et al.
Published: (2025)

VAM: Verbalized Action Masking for Controllable Exploration in RL Post-Training -- A Chess Case Study
by: Zhang, Zhicheng, et al.
Published: (2026)

Instruction Mining: Instruction Data Selection for Tuning Large Language Models
by: Cao, Yihan, et al.
Published: (2023)

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)

SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models
by: He, Zirui, et al.
Published: (2025)

Non-instructional Fine-tuning: Enabling Instruction-Following Capabilities in Pre-trained Language Models without Instruction-Following Data
by: Xie, Juncheng, et al.
Published: (2024)

Replay Failures as Successes: Sample-Efficient Reinforcement Learning for Instruction Following
by: Zhang, Kongcheng, et al.
Published: (2025)

OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
by: Wang, Zihao, et al.
Published: (2024)

HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model
by: Guo, Haiyang, et al.
Published: (2025)

All Language Models Large and Small
by: Chen, Zhixun, et al.
Published: (2024)

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities
by: Zhang, Junyan, et al.
Published: (2025)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
by: Dong, Guanting, et al.
Published: (2024)

Shuttle Between the Instructions and the Parameters of Large Language Models
by: Sun, Wangtao, et al.
Published: (2025)

SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
by: Zhang, Jesse, et al.
Published: (2023)

Is In-Context Learning Sufficient for Instruction Following in LLMs?
by: Zhao, Hao, et al.
Published: (2024)

Natural Language Reinforcement Learning
by: Feng, Xidong, et al.
Published: (2024)

Infer Human's Intentions Before Following Natural Language Instructions
by: Wan, Yanming, et al.
Published: (2024)

LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning
by: Singh, Utsav, et al.
Published: (2024)

Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
by: Fang, Yin, et al.
Published: (2023)

Enhancing and Assessing Instruction-Following with Fine-Grained Instruction Variants
by: Yang, Jiuding, et al.
Published: (2024)

Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models
by: Wang, Zezhou, et al.
Published: (2024)

DiJiang: Efficient Large Language Models through Compact Kernelization
by: Chen, Hanting, et al.
Published: (2024)

Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs
by: Bethany, Mazal, et al.
Published: (2024)

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
by: Weller, Orion, et al.
Published: (2024)

Financial Instruction Following Evaluation (FIFE)
by: Matlin, Glenn, et al.
Published: (2025)

Who is In Charge? Dissecting Role Conflicts in Instruction Following
by: Zeng, Siqi
Published: (2025)

Nevermind: Instruction Override and Moderation in Large Language Models
by: Kim, Edward
Published: (2024)