:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Song, Xiaoyang, Adachi, Yuta, Feng, Jessie, Lin, Mouwei, Yu, Linhao, Li, Frank, Gupta, Akshat, Anumanchipalli, Gopala, Kaur, Simerjot
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2402.14805
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Self-Assessment Tests are Unreliable Measures of LLM Personality
by: Gupta, Akshat, et al.
Published: (2023)

Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing
by: Gupta, Akshat, et al.
Published: (2024)

A Unified Framework for Model Editing
by: Gupta, Akshat, et al.
Published: (2024)

Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3
by: Yoon, Junsang, et al.
Published: (2024)

Geometric Interpretation of Layer Normalization and a Comparative Analysis with RMSNorm
by: Gupta, Akshat, et al.
Published: (2024)

Model Editing at Scale leads to Gradual and Catastrophic Forgetting
by: Gupta, Akshat, et al.
Published: (2024)

How Do LLMs Use Their Depth?
by: Gupta, Akshat, et al.
Published: (2025)

Efficient Knowledge Editing via Minimal Precomputation
by: Gupta, Akshat, et al.
Published: (2025)

The Oracle Has Spoken: A Multi-Aspect Evaluation of Dialogue in Pythia
by: Chen, Zixun, et al.
Published: (2025)

PokerBench: Training Large Language Models to become Professional Poker Players
by: Zhuang, Richard, et al.
Published: (2025)

Towards Hierarchical Spoken Language Dysfluency Modeling
by: Lian, Jiachen, et al.
Published: (2024)

FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression
by: Mittu, Fazal, et al.
Published: (2024)

Evolutionary Strategies lead to Catastrophic Forgetting in LLMs
by: Abdi, Immanuel, et al.
Published: (2026)

Lifelong Knowledge Editing requires Better Regularization
by: Gupta, Akshat, et al.
Published: (2025)

Norm Growth and Stability Challenges in Localized Sequential Knowledge Editing
by: Gupta, Akshat, et al.
Published: (2025)

Conservative Bias in Large Language Models: Measuring Relation Predictions
by: Aguda, Toyin, et al.
Published: (2025)

Sylber: Syllabic Embedding Representation of Speech from Raw Audio
by: Cho, Cheol Jun, et al.
Published: (2024)

Scaling Spoken Language Models with Syllabic Speech Tokenization
by: Lee, Nicholas, et al.
Published: (2025)

Unsupervised TTS Acoustic Modeling for TTS with Conditional Disentangled Sequential VAE
by: Lian, Jiachen, et al.
Published: (2022)

Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency
by: Aguda, Toyin, et al.
Published: (2024)

Grounding LLM Reasoning with Knowledge Graphs
by: Amayuelas, Alfonso, et al.
Published: (2025)

LFED: A Literary Fiction Evaluation Dataset for Large Language Models
by: Yu, Linhao, et al.
Published: (2024)

Multimodal Segmentation for Vocal Tract Modeling
by: Jain, Rishi, et al.
Published: (2024)

FinQAPT: Empowering Financial Decisions with End-to-End LLM-driven Question Answering Pipeline
by: Singh, Kuldeep, et al.
Published: (2024)

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking
by: Magomere, Jabez, et al.
Published: (2025)

Self-Supervised Models of Speech Infer Universal Articulatory Kinematics
by: Cho, Cheol Jun, et al.
Published: (2023)

Sylber 2.0: A Universal Syllable Embedding
by: Cho, Cheol Jun, et al.
Published: (2026)

Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
by: Lin, Guan-Ting, et al.
Published: (2025)

Coding Speech through Vocal Tract Kinematics
by: Cho, Cheol Jun, et al.
Published: (2024)

How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains
by: Khanmohammadi, Reza, et al.
Published: (2026)

SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in HuBERT
by: Cho, Cheol Jun, et al.
Published: (2023)

Self-Pluralising Culture Alignment for Large Language Models
by: Xu, Shaoyang, et al.
Published: (2024)

A Variational Approach for Mitigating Entity Bias in Relation Extraction
by: Mensah, Samuel, et al.
Published: (2025)

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks
by: Erdogan, Lutfi Eren, et al.
Published: (2025)

StyleStream: Real-Time Zero-Shot Voice Style Conversion
by: Liu, Yisi, et al.
Published: (2026)

DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts
by: Sun, Xiongtao, et al.
Published: (2024)

Grounded or Guessing? LVLM Confidence Estimation via Blind-Image Contrastive Ranking
by: Khanmohammadi, Reza, et al.
Published: (2026)

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
by: Lee, Nicholas, et al.
Published: (2024)

CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models
by: Yu, Linhao, et al.
Published: (2024)

Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models
by: Chen, Jiaao, et al.
Published: (2023)