:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhu, Tongyao, Liu, Qian, Wang, Haonan, Chen, Shiqi, Gu, Xiangming, Pang, Tianyu, Kan, Min-Yen
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2503.15450
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
by: Wang, Haonan, et al.
Published: (2024)

Beyond Memorization: The Challenge of Random Memory Access in Language Models
by: Zhu, Tongyao, et al.
Published: (2024)

CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization
by: Ding, Yixi, et al.
Published: (2024)

Faster and Better LLMs via Latency-Aware Test-Time Scaling
by: Wang, Zili, et al.
Published: (2025)

Better with Experience: Self-Evolving LLM Agents for Evidence-Grounded Health Community Notes
by: Fu, Zihang, et al.
Published: (2026)

When Attention Sink Emerges in Language Models: An Empirical View
by: Gu, Xiangming, et al.
Published: (2024)

Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
by: Gu, Xiangming, et al.
Published: (2024)

Long-Context Language Modeling with Parallel Context Encoding
by: Yen, Howard, et al.
Published: (2024)

Learning Word Embedding with Better Distance Weighting and Window Size Scheduling
by: Yang, Chaohao, et al.
Published: (2024)

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging
by: Chen, Shiqi, et al.
Published: (2025)

ISQA: Informative Factuality Feedback for Scientific Summarization
by: Li, Zekai, et al.
Published: (2024)

Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning
by: Wang, Haonan, et al.
Published: (2025)

From Harm to Help: Turning Reasoning In-Context Demos into Assets for Reasoning LMs
by: Wang, Haonan, et al.
Published: (2025)

LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification
by: Yang, Penghui, et al.
Published: (2025)

How to Train Long-Context Language Models (Effectively)
by: Gao, Tianyu, et al.
Published: (2024)

Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines
by: Long, Do Xuan, et al.
Published: (2025)

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
by: Huang, Chengsong, et al.
Published: (2023)

Better & Faster Large Language Models via Multi-token Prediction
by: Gloeckle, Fabian, et al.
Published: (2024)

Internalizing World Models via Self-Play Finetuning for Agentic RL
by: Chen, Shiqi, et al.
Published: (2025)

Discursive Circuits: How Do Language Models Understand Discourse Relations?
by: Miao, Yisong, et al.
Published: (2025)

Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better
by: Zhao, Ji, et al.
Published: (2026)

Better, Faster: Harnessing Self-Improvement in Large Reasoning Models
by: Zhong, Qihuang, et al.
Published: (2026)

A Probability--Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors
by: Tan, Naaman, et al.
Published: (2024)

Fostering Video Reasoning via Next-Event Prediction
by: Wang, Haonan, et al.
Published: (2025)

Glyph: Scaling Context Windows via Visual-Text Compression
by: Cheng, Jiale, et al.
Published: (2025)

Recurrent Context Compression: Efficiently Expanding the Context Window of LLM
by: Huang, Chensen, et al.
Published: (2024)

Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR
by: Xu, Haobo, et al.
Published: (2026)

Improving Your Model Ranking on Chatbot Arena by Vote Rigging
by: Min, Rui, et al.
Published: (2025)

Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
by: Zhang, Xuan, et al.
Published: (2024)

Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
by: Yang, Zhaorui, et al.
Published: (2024)

Extending Context Window of Large Language Models from a Distributional Perspective
by: Wu, Yingsheng, et al.
Published: (2024)

Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation
by: Wu, Jiaying, et al.
Published: (2025)

Variational Reasoning for Language Models
by: Zhou, Xiangxin, et al.
Published: (2025)

Extending LLMs' Context Window with 100 Samples
by: Zhang, Yikai, et al.
Published: (2024)

Establishing Task Scaling Laws via Compute-Efficient Model Ladders
by: Bhagia, Akshita, et al.
Published: (2024)

Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas
by: Chen, Shiqi, et al.
Published: (2025)

PSC: Extending Context Window of Large Language Models via Phase Shift Calibration
by: Zhu, Wenqiao, et al.
Published: (2025)

GitSearch: Enhancing Community Notes Generation with Gap-Informed Targeted Search
by: Singh, Sahajpreet, et al.
Published: (2026)

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
by: Warner, Benjamin, et al.
Published: (2024)

Bootstrapping Language Models with DPO Implicit Rewards
by: Chen, Changyu, et al.
Published: (2024)