:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huang, Xin, Chan, Antoni B.
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Artificial Intelligence Machine Learning
Accès en ligne:	https://arxiv.org/abs/2601.03089
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Incorporating Attribution Importance for Improving Faithfulness Metrics
par: Zhao, Zhixue, et autres
Publié: (2023)

Grammar-Aligned Decoding
par: Park, Kanghee, et autres
Publié: (2024)

Measuring Faithfulness Depends on How You Measure: Classifier Sensitivity in LLM Chain-of-Thought Evaluation
par: Young, Richard J.
Publié: (2026)

RelayLLM: Efficient Reasoning via Collaborative Decoding
par: Huang, Chengsong, et autres
Publié: (2026)

AttributionBench: How Hard is Automatic Attribution Evaluation?
par: Li, Yifei, et autres
Publié: (2024)

RSAT: Structured Attribution Makes Small Language Models Faithful Table Reasoners
par: Gajjar, Jugal, et autres
Publié: (2026)

A Causal Lens for Evaluating Faithfulness Metrics
par: Zaman, Kerem, et autres
Publié: (2025)

FaithLM: Towards Faithful Explanations for Large Language Models
par: Chuang, Yu-Neng, et autres
Publié: (2024)

CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness
par: Liu, Jiayi, et autres
Publié: (2024)

Beyond Transfer Accuracy: Faithful Circuits for Controlled Low-Resource Adaptation
par: Nur'aini, Khumaisa, et autres
Publié: (2026)

Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences
par: Ghoshal, Asish, et autres
Publié: (2022)

Controlled Decoding from Language Models
par: Mudgal, Sidharth, et autres
Publié: (2023)

Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators
par: Do, Heejin, et autres
Publié: (2026)

TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
par: Yang, Lijie, et autres
Publié: (2024)

Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis
par: Li, Junzhuo, et autres
Publié: (2025)

FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Dataset Dependencies
par: Cho, Seonglae, et autres
Publié: (2025)

STRUM-LLM: Attributed and Structured Contrastive Summarization
par: Gunel, Beliz, et autres
Publié: (2024)

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
par: Ming, Yifei, et autres
Publié: (2024)

Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments
par: Zhang, Li, et autres
Publié: (2025)

Transformer Circuit Faithfulness Metrics are not Robust
par: Miller, Joseph, et autres
Publié: (2024)

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
par: Chen, Jianhui, et autres
Publié: (2026)

Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
par: Chung, Tsz Ting, et autres
Publié: (2024)

LLM Attributor: Interactive Visual Attribution for LLM Generation
par: Lee, Seongmin, et autres
Publié: (2024)

$\texttt{SEM-CTRL}$: Semantically Controlled Decoding
par: Albinhassan, Mohammad, et autres
Publié: (2025)

Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
par: Arcuschin, Iván, et autres
Publié: (2025)

KVzap: Fast, Adaptive, and Faithful KV Cache Pruning
par: Jegou, Simon, et autres
Publié: (2026)

Beyond Linear Steering: Unified Multi-Attribute Control for Language Models
par: Oozeer, Narmeen, et autres
Publié: (2025)

Measuring Chain-of-Thought Monitorability Through Faithfulness and Verbosity
par: Meek, Austin, et autres
Publié: (2025)

POSS: Position Specialist Generates Better Draft for Speculative Decoding
par: Huang, Langlin, et autres
Publié: (2025)

Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures
par: Bronzini, Marco, et autres
Publié: (2025)

Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding
par: Bergner, Benjamin, et autres
Publié: (2024)

Spiffy: Multiplying Diffusion LLM Acceleration via Lossless Speculative Decoding
par: Agrawal, Sudhanshu, et autres
Publié: (2025)

Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration
par: Wen, Zhuofan, et autres
Publié: (2024)

Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
par: Timor, Nadav, et autres
Publié: (2025)

Dodo: Dynamic Contextual Compression for Decoder-only LMs
par: Qin, Guanghui, et autres
Publié: (2023)

How Much is Too Much? Exploring LoRA Rank Trade-offs for Retaining Knowledge and Domain Robustness
par: Rathore, Darshita, et autres
Publié: (2025)

From Faithfulness to Correctness: Generative Reward Models that Think Critically
par: Ma, Qiyao, et autres
Publié: (2025)

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
par: Matton, Katie, et autres
Publié: (2025)

Where Did It Go Wrong? Attributing Undesirable LLM Behaviors via Representation Gradient Tracing
par: Li, Zhe, et autres
Publié: (2025)

Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency
par: Li, Ruixiao, et autres
Publié: (2025)