:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Wang, Zhenyu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2503.11667
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DistillLens: Symmetric Knowledge Distillation Through Logit Lens
by: Dhakal, Manish, et al.
Published: (2026)

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs
by: Phukan, Anirudh, et al.
Published: (2024)

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits
by: Shao, Jintian, et al.
Published: (2025)

DALD: Improving Logits-based Detector without Logits from Black-box LLMs
by: Zeng, Cong, et al.
Published: (2024)

LogitTrace: Detecting Benchmark Contamination via Layerwise Logit Trajectories
by: He, Zirui, et al.
Published: (2025)

API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
by: Su, Jiayuan, et al.
Published: (2024)

UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models
by: Dong, Yijiang River, et al.
Published: (2024)

Spectral Logit Sculpting: Adaptive Low-Rank Logit Transformation for Controlled Text Generation
by: Li, Jin, et al.
Published: (2025)

Lost in Overlap: Exploring Logit-based Watermark Collision in LLMs
by: Luo, Yiyang, et al.
Published: (2024)

LogitsCoder: Towards Efficient Chain-of-Thought Path Search via Logits Preference Decoding for Code Generation
by: Chen, Jizheng, et al.
Published: (2026)

Strategic Deflection: Defending LLMs from Logit Manipulation
by: Rachidy, Yassine, et al.
Published: (2025)

Steering Language Models Before They Speak: Logit-Level Interventions
by: An, Hyeseon, et al.
Published: (2026)

Chain-of-Thought Augmentation with Logit Contrast for Enhanced Reasoning in Language Models
by: Shim, Jay, et al.
Published: (2024)

SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
by: Zhang, Jianyi, et al.
Published: (2024)

Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
by: Boizard, Nicolas, et al.
Published: (2024)

Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access
by: Geng, Saibo, et al.
Published: (2024)

BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillation
by: Li, Minchong, et al.
Published: (2024)

Sequences of Logits Reveal the Low Rank Structure of Language Models
by: Golowich, Noah, et al.
Published: (2025)

Limits of n-gram Style Control for LLMs via Logit-Space Injection
by: Ahmed, Sami-ul
Published: (2026)

Logit Reweighting for Topic-Focused Summarization
by: Braun, Joschka, et al.
Published: (2025)

Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs
by: Anshumann, et al.
Published: (2025)

Lens: Rethinking Multilingual Enhancement for Large Language Models
by: Zhao, Weixiang, et al.
Published: (2024)

A Group Fairness Lens for Large Language Models
by: Bi, Guanqun, et al.
Published: (2023)

Last Layer Logits to Logic: Empowering LLMs with Logic-Consistent Structured Knowledge Reasoning
by: Li, Songze, et al.
Published: (2025)

JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models
by: Feng, Yingchaojie, et al.
Published: (2024)

Logits of API-Protected LLMs Leak Proprietary Information
by: Finlayson, Matthew, et al.
Published: (2024)

Understanding GUI Agent Localization Biases through Logit Sharpness
by: Tao, Xingjian, et al.
Published: (2025)

LoCa: Logit Calibration for Knowledge Distillation
by: Yang, Runming, et al.
Published: (2024)

Stabilizing Policy Optimization via Logits Convexity
by: Chen, Hongzhan, et al.
Published: (2026)

First Logit Boosting: Visual Grounding Method to Mitigate Object Hallucination in Large Vision-Language Models
by: Ha, Jiwoo, et al.
Published: (2026)

Logits are All We Need to Adapt Closed Models
by: Hiranandani, Gaurush, et al.
Published: (2025)

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
by: Zhang, Yunxiang, et al.
Published: (2025)

Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
by: Gong, Yue, et al.
Published: (2025)

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

Beyond Prompting: Efficient and Robust Contextual Biasing for Speech LLMs via Logit-Space Integration (LOGIC)
by: Wang, Peidong
Published: (2026)

InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion
by: Wang, Yuanyi, et al.
Published: (2025)

ROME: Memorization Insights from Text, Logits and Representation
by: Li, Bo, et al.
Published: (2024)

Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion
by: Zhang, Chen, et al.
Published: (2026)

Transferring Extreme Subword Style Using Ngram Model-Based Logit Scaling
by: Messner, Craig, et al.
Published: (2025)

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
by: Zhang, Yunxiang, et al.
Published: (2025)