Papers
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
Shimao Zhang, Changjiang Gao, Wenhao Zhu et al.
Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection
Abhishek Purushothama, Adam Wiemerslage, Katharina Von Der Wense
Giving Control Back to Models: Enabling Offensive Language Detection Models to Autonomously Identify and Mitigate Biases
Jiapeng Liu, Weijie Li, Xiaochao Fan et al.
GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models
Xuanchang Zhang, Zhuosheng Zhang, Hai Zhao
“Global is Good, Local is Bad?”: Understanding Brand Bias in LLMs
Mahammed Kamruzzaman, Hieu Minh Nguyen, Gene Louis Kim
Global Learning with Triplet Relations in Abstractive Summarization
Fengyu Lu, Jiaxin Duan, Junfei Liu
Global-Pruner: A Stable and Efficient Pruner for Retraining-Free Pruning of Encoder-Based Language Models
Guangzhen Yao, Yuehan Wang, Hui Xu et al.
Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents
Dong Won Lee, Hae Won Park, Yoon Kim et al.
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization
Yangfan Ye, Xiachong Feng, Xiaocheng Feng et al.
Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing
Pooya Fayyazsanavi, Antonios Anastasopoulos, Jana Kosecka
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
Michael Ginn, Lindia Tjuatja, Taiqi He et al.
Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
Zhen Tan, Chengshuai Zhao, Raha Moraffah et al.
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory
Wei Fan, Haoran Li, Zheye Deng et al.
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs
Chengyuan Liu, Shihang Wang, Lizhi Qing et al.
GOME: Grounding-based Metaphor Binding With Conceptual Elaboration For Figurative Language Illustration
Linhao Zhang, Jintao Liu, Li Jin et al.
GottBERT: a pure German Language Model
Raphael Scheible, Johann Frei, Fabian Thomczyk et al.
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation
Wenjie Zhou, Zhenxin Ding, Xiaodong Zhang et al.
GProofT: A Multi-dimension Multi-round Fact Checking Framework Based on Claim Fact Extraction
Jiayu Liu, Junhao Tang, Hanwen Wang et al.
GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation
Govind Ramesh, Yao Dou, Wei Xu
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning
Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev
Gradient Localization Improves Lifelong Pretraining of Language Models
Jared Fernandez, Yonatan Bisk, Emma Strubell
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal et al.
Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding
Ziqi Wang, Chen Zhu, Zhi Zheng et al.
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation
Doan Nam Long Vu, Timour Igamberdiev, Ivan Habernal
Granular Privacy Control for Geolocation with Vision Language Models
Ethan Mendes, Yang Chen, James Hays et al.