Papers
Gradually Excavating External Knowledge for Implicit Complex Question Answering
Chang Liu, Xiaoguang Li, Lifeng Shang et al.
Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
Saibo Geng, Martin Josifoski, Maxime Peyrard et al.
Grammar induction pretraining for language modeling in low resource contexts
Xuanda Chen, Eva Portelance
Grammatical Error Correction via Mixed-Grained Weighted Training
Jiahao Li, Quan Wang, Chiwei Zhu et al.
Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation
Yanzhao Shi, Junzhong Ji, Xiaodan Zhang et al.
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding
Zheng Chen, Ziyan Jiang, Fan Yang et al.
Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue
Yizhe Yang, Heyan Huang, Yuhang Liu et al.
GreedyCAS: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information
Yingqiang Gao, Jessica Lam, Nianlong Gu et al.
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs
Yichuan Li, Kaize Ding, Kyumin Lee
GRI: Graph-based Relative Isomorphism of Word Embedding Spaces
Muhammad Ali, Yan Hu, Jianbin Qin et al.
GROOViST: A Metric for Grounding Objects in Visual Storytelling
Aditya K Surikuchi, Sandro Pezzelle, Raquel Fernández
Grounded and well-rounded: a methodological approach to the study of cross-modal and cross-lingual grounding
Timothee Mickus, Elaine Zosa, Denis Paperno
Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans?
Yichi Zhang, Jiayi Pan, Yuchen Zhou et al.
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence
Zhihua Wen, Zhiliang Tian, Wei Wu et al.
GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets
Wolfgang Otto, Matthäus Zloch, Lu Gan et al.
G-SPEED: General SParse Efficient Editing MoDel
Haoke Zhang, Yue Wang, Juntao Li et al.
GTA: Gated Toxicity Avoidance for LM Performance Preservation
Heegyu Kim, Hyunsouk Cho
Guideline Learning for In-Context Information Extraction
Chaoxu Pang, Yixuan Cao, Qiang Ding et al.
Guiding AMR Parsing with Reverse Graph Linearization
Bofei Gao, Liang Chen, Peiyi Wang et al.
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers
Mosh Levy, Shauli Ravfogel, Yoav Goldberg
GUIT-NLP’s Submission to Shared Task: Low Resource Indic Language Translation
Mazida Akhtara Ahmed, Kuwali Talukdar, Parvez Aziz Boruah et al.
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language Models
Ghazaleh Mahmoudi, Yeganeh Morshedzadeh, Sauleh Eetemadi
H2O Open Ecosystem for State-of-the-art Large Language Models
Arno Candel, Jon McKinney, Philipp Singer et al.
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference
Haoyu Wang, Yaqing Wang, Tianci Liu et al.