Cover Image

RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Zhengkang, Liu, Wenhao, Xie, Mingchen, Xu, Jingwen, Huang, Zisu, Tian, Muzhao, Xu, Jianhan, Shen, Yuanzhe, Qian, Qi, Wu, Muling, Wang, Xiaohua, Lv, Changze, Wang, He-Da, Yao, Hu, Zheng, Xiaoqing, Huang, Xuanjing
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CSSG: Measuring Code Similarity with Semantic Graphs
by: Lu, Yiyang, et al.
Published: (2026)

Benchmark^2: Systematic Evaluation of LLM Benchmarks
by: Qian, Qi, et al.
Published: (2026)

Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction
by: Tian, Muzhao, et al.
Published: (2026)

BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation
by: Xu, Jingwen, et al.
Published: (2026)

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization
by: Xu, Zhibo, et al.
Published: (2025)

SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
by: Lv, Changze, et al.
Published: (2023)

Spiking Convolutional Neural Networks for Text Classification
by: Lv, Changze, et al.
Published: (2024)

TripTailor: A Real-World Benchmark for Personalized Travel Planning
by: Shen, Yuanzhe, et al.
Published: (2025)

Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective
by: Li, Tianlong, et al.
Published: (2024)

UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation
by: Li, Tianlong, et al.
Published: (2023)

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges
by: Wang, Xiaohua, et al.
Published: (2026)

IntentionReasoner: Facilitating Adaptive LLM Safeguards through Intent Reasoning and Selective Query Refinement
by: Shen, Yuanzhe, et al.
Published: (2025)

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning
by: Wu, Muling, et al.
Published: (2025)

Aligning Large Language Models with Human Preferences through Representation Engineering
by: Liu, Wenhao, et al.
Published: (2023)

Advancing Parameter Efficiency in Fine-tuning via Representation Editing
by: Wu, Muling, et al.
Published: (2024)

Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
by: Zhu, JianHao, et al.
Published: (2024)

Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation
by: Lv, Changze, et al.
Published: (2026)

Improving Continual Pre-training Through Seamless Data Packing
by: Yin, Ruicheng, et al.
Published: (2025)

SpikeBERT: A Language Spikformer Learned from BERT with Knowledge Distillation
by: Lv, Changze, et al.
Published: (2023)

SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading
by: Shen, Yuanzhe, et al.
Published: (2025)

Dendritic Localized Learning: Toward Biologically Plausible Algorithm
by: Lv, Changze, et al.
Published: (2025)

Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
by: Xu, Haozhe, et al.
Published: (2025)

Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing
by: Liu, Wenhao, et al.
Published: (2024)

VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck
by: Zhang, Feiran, et al.
Published: (2026)

Biologically Plausible Learning via Bidirectional Spike-Based Distillation
by: Lv, Changze, et al.
Published: (2025)

Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement
by: Wang, Xiaohua, et al.
Published: (2024)

From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills
by: Huang, Zisu, et al.
Published: (2026)

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
by: Lv, Changze, et al.
Published: (2024)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
by: Lv, Changze, et al.
Published: (2024)

TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios
by: Shen, Yuanzhe, et al.
Published: (2026)

Decoding Continuous Character-based Language from Non-invasive Brain Recordings
by: Zhang, Cenyuan, et al.
Published: (2024)

Layer-Specific Scaling of Positional Encodings for Superior Long-Context Modeling
by: Wang, Zhenghua, et al.
Published: (2025)

Toward Relative Positional Encoding in Spiking Transformers
by: Lv, Changze, et al.
Published: (2025)

Explainable Synthetic Image Detection through Diffusion Timestep Ensembling
by: Wu, Yixin, et al.
Published: (2025)

Improving RL Exploration for LLM Reasoning through Retrospective Replay
by: Dou, Shihan, et al.
Published: (2025)

Towards Biologically Plausible Computing: A Comprehensive Comparison
by: Lv, Changze, et al.
Published: (2024)

Searching for Best Practices in Retrieval-Augmented Generation
by: Wang, Xiaohua, et al.
Published: (2024)

Benchmarking Complex Instruction-Following with Multiple Constraints Composition
by: Wen, Bosi, et al.
Published: (2024)

RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
by: Tasnim, Nazia, et al.
Published: (2024)

Incremental Structure Discovery of Classification via Sequential Monte Carlo
by: Huang, Changze, et al.
Published: (2024)