Cover Image

Shifting Long-Context LLMs Research from Input to Output

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Yuhao, Bai, Yushi, Hu, Zhiqing, Tu, Shangqing, Hee, Ming Shan, Li, Juanzi, Lee, Roy Ka-Wei
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs
by: Wu, Yuhao, et al.
Published: (2024)

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning
by: Wu, Yuhao, et al.
Published: (2025)

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models
by: Wu, Yuhao, et al.
Published: (2025)

DeepPrune: Parallel Scaling without Inter-trace Redundancy
by: Tu, Shangqing, et al.
Published: (2025)

WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models
by: Tu, Shangqing, et al.
Published: (2023)

LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models
by: Tu, Shangqing, et al.
Published: (2025)

Lost in Stories: Consistency Bugs in Long Story Generation by LLMs
by: Li, Junjie, et al.
Published: (2026)

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks
by: Bai, Yushi, et al.
Published: (2024)

DICE: Detecting In-distribution Contamination in LLM's Fine-tuning Phase for Math Reasoning
by: Tu, Shangqing, et al.
Published: (2024)

Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning
by: Hee, Ming Shan, et al.
Published: (2024)

Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions
by: Hee, Ming Shan, et al.
Published: (2025)

ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Time
by: Tu, Shangqing, et al.
Published: (2023)

HateXScore: A Metric Suite for Evaluating Reasoning Quality in Hate Speech Explanations
by: Hu, Yujia, et al.
Published: (2026)

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
by: Bai, Yushi, et al.
Published: (2024)

Toxicity Red-Teaming: Benchmarking LLM Safety in Singapore's Low-Resource Languages
by: Hu, Yujia, et al.
Published: (2025)

Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
by: Jin, Bowen, et al.
Published: (2024)

Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction
by: Shi, Zhenmei, et al.
Published: (2024)

Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling
by: Hu, Xiang, et al.
Published: (2024)

Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety Neurons
by: Chen, Jianhui, et al.
Published: (2024)

Pre-training Distillation for Large Language Models: A Design Space Exploration
by: Peng, Hao, et al.
Published: (2024)

R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models
by: Tu, Shangqing, et al.
Published: (2024)

IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization
by: Zhang, Xinghua, et al.
Published: (2024)

OWL: Overcoming Window Length-Dependence in Speculative Decoding for Long-Context Inputs
by: Lee, Jaeseong, et al.
Published: (2025)

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization
by: Sun, Huashan, et al.
Published: (2025)

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

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning
by: Mao, Yansheng, et al.
Published: (2024)

Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
by: Tu, Shangqing, et al.
Published: (2024)

InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
by: Hu, Yujia, et al.
Published: (2024)

SEAHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Southeast Asia
by: Ng, Ri Chi, et al.
Published: (2026)

LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs
by: Jia, Junlong, et al.
Published: (2025)

Are Long-LLMs A Necessity For Long-Context Tasks?
by: Qian, Hongjin, et al.
Published: (2024)

MMGeoLM: Hard Negative Contrastive Learning for Fine-Grained Geometric Understanding in Large Multimodal Models
by: Sun, Kai, et al.
Published: (2025)

Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs
by: Li, Zhuo, et al.
Published: (2024)

SIRI: Scaling Iterative Reinforcement Learning with Interleaved Compression
by: Wen, Haoming, et al.
Published: (2025)

LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA
by: Zhang, Jiajie, et al.
Published: (2024)

Towards Objective and Unbiased Decision Assessments with LLM-Enhanced Hierarchical Attention Networks
by: Liu, Junhua, et al.
Published: (2024)

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction
by: Li, Junlong, et al.
Published: (2025)

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis
by: Zhu, Kejian, et al.
Published: (2025)

NExtLong: Toward Effective Long-Context Training without Long Documents
by: Gao, Chaochen, et al.
Published: (2025)

Hardware-aligned Hierarchical Sparse Attention for Efficient Long-term Memory Access
by: Hu, Xiang, et al.
Published: (2025)