:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chua, Gabriel, Chan, Shing Yee, Khoo, Shaun
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning 68T50 I.2.7
Online Access:	https://arxiv.org/abs/2411.12946
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
by: Liu, Aiwei, et al.
Published: (2024)

The Superalignment of Superhuman Intelligence with Large Language Models
by: Huang, Minlie, et al.
Published: (2024)

An Unforgeable Publicly Verifiable Watermark for Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)

Exploring State Tracking Capabilities of Large Language Models
by: Rezaee, Kiamehr, et al.
Published: (2025)

A Survey of Text Watermarking in the Era of Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)

Distilling Large Language Models for Efficient Clinical Information Extraction
by: Vedula, Karthik S., et al.
Published: (2024)

Towards Effective and Efficient Continual Pre-training of Large Language Models
by: Chen, Jie, et al.
Published: (2024)

Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models
by: Park, Seungcheol, et al.
Published: (2025)

Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information
by: Park, Seungcheol, et al.
Published: (2025)

Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation
by: Bayram, M. Ali, et al.
Published: (2024)

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
by: Fang, Xi, et al.
Published: (2024)

Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models
by: Pan, Leyi, et al.
Published: (2025)

The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation
by: Weigang, Li, et al.
Published: (2025)

Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing
by: Wang, Zhilin, et al.
Published: (2025)

NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context
by: Yao, Ben, et al.
Published: (2025)

Topeax -- An Improved Clustering Topic Model with Density Peak Detection and Lexical-Semantic Term Importance
by: Kardos, Márton
Published: (2026)

Trusted Uncertainty in Large Language Models: A Unified Framework for Confidence Calibration and Risk-Controlled Refusal
by: Oehri, Markus, et al.
Published: (2025)

"As Eastern Powers, I will veto." : An Investigation of Nation-level Bias of Large Language Models in International Relations
by: Choi, Jonghyeon, et al.
Published: (2025)

WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents
by: Pan, Leyi, et al.
Published: (2024)

Evaluating Pixel Language Models on Non-Standardized Languages
by: Muñoz-Ortiz, Alberto, et al.
Published: (2024)

PaperAudit-Bench: Benchmarking Error Detection in Research Papers for Critical Automated Peer Review
by: Tu, Songjun, et al.
Published: (2026)

Compression Method Matters: Benchmark-Dependent Output Dynamics in LLM Prompt Compression
by: Johnson, Warren
Published: (2026)

Prompt Compression in Production Task Orchestration: A Pre-Registered Randomized Trial
by: Johnson, Warren, et al.
Published: (2026)

Adaptive Steering and Remasking for Safe Generation in Diffusion Language Models
by: Lee, Yejin, et al.
Published: (2026)

Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
by: Park, Seungcheol, et al.
Published: (2023)

S2vNTM: Semi-supervised vMF Neural Topic Modeling
by: Xu, Weijie, et al.
Published: (2023)

Co-NAML-LSTUR: A Combined Model with Attentive Multi-View Learning and Long- and Short-term User Representations for News Recommendation
by: Nguyen, Minh Hoang, et al.
Published: (2025)

d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models
by: Pan, Leyi, et al.
Published: (2025)

WeDLM: Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference
by: Liu, Aiwei, et al.
Published: (2025)

Copyright Detection in Large Language Models: An Ethical Approach to Generative AI Development
by: Szczecina, David, et al.
Published: (2025)

Fine-tuning of Large Language Models for Constituency Parsing Using a Sequence to Sequence Approach
by: Delgado, Francisco Jose Cortes, et al.
Published: (2025)

How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework
by: Nieth, Björn, et al.
Published: (2026)

Prompt Engineering and the Effectiveness of Large Language Models in Enhancing Human Productivity
by: Anam, Rizal Khoirul
Published: (2025)

Branching Narratives: Character Decision Points Detection
by: Tikhonov, Alexey
Published: (2024)

Math Natural Language Inference: this should be easy!
by: de Paiva, Valeria, et al.
Published: (2025)

A Survey on Natural Language Counterfactual Generation
by: Wang, Yongjie, et al.
Published: (2024)

A Semantic Invariant Robust Watermark for Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)

The Impact of Role Design in In-Context Learning for Large Language Models
by: Rouzegar, Hamidreza, et al.
Published: (2025)

ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models
by: Miliani, Martina, et al.
Published: (2025)

Cache-to-Cache: Direct Semantic Communication Between Large Language Models
by: Fu, Tianyu, et al.
Published: (2025)