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"text": "Pre-trained language models (PLMs) have quickly become a staple in t... | 2023-10-23 | 10.18653/v1/2021.findings-emnlp.410 | [
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"authors": "Alan Ansell; Maria Edoardo; Jonas Ponti; Sebastian Pfeiffer; Goran Ruder; Ivan Glavaš; Anna Vulić; Korhonen",
"journal": "Association for Computational Linguistics",
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"title": "MAD-G: Multilingual adapter generation for efficient cross-lingual transfer",
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] | Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings | Pre-trained language models (PLMs) have ignited a surge in demand for effective finetuning techniques, particularly in low-resource domains and languages. Active learning (AL), a set of algorithms designed to decrease labeling costs by minimizing label complexity, has shown promise in confronting the labeling bottlenec... | Josip Jukić; Jan Šnajder Takelab | [
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"figure_caption": "Figure 3 :3Figure3: AL learning curves compared with random sampling on the SUBJ dataset. The first and the second rows show learning curves for adapters without and with TAPT, respectively. The third row shows learning curves for FFT, without and with TAPT. The results are averaged over fi... | [{"Category": "Methodological Basis", "Citation": "(Cohn et al., 1996)", "Explanation": "The cited work introduces the concept of active learning as a potential solution to the challenge of data labeling in low-resource settings, which the citing paper builds upon in its research on efficient finetuning methods for PLM... |
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"text": "Document comprehension involves interpreting words that can alter the meaning of the text based on their pla... | 2024-01-22 | 10.18653/v1/D19-1345 | [
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"title": "Identifying types of claims in online customer reviews",
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"title": "Long... | [] | Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification using Graph Neural Networks? | Given the success of Graph Neural Networks (GNNs) for structure-aware machine learning, many studies have explored their use for text classification, but mostly in specific domains with limited data characteristics. Moreover, some strategies prior to GNNs relied on graph mining and classical machine learning, making it... | Margarita Bugueño; Gerard De Melo | [
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"figure_caption": "Figure 1 :1Figure 1: Graph Construction Methods. Given the input text \"Start working! The soone... | [{"Category": "Methodological Basis", "Citation": "(Castillo et al., 2015)", "Explanation": "The cited work provides a foundation for the use of graphs in text classification tasks, as it discusses the applicability and effectiveness of graphs in broader settings."}, {"Category": "Extension or Continuation", "Citation"... |
[{"figure_ref":[],"heading":"Introduction","publication_ref":["b0","b1","b2","b3","b4","b5","b6","b7(...TRUNCATED) | 2023-07 | 10.1177/0361198105191800112 | [{"authors":"","journal":"OECD","ref_id":"b0","title":"The Economic Consequences of Outdoor Air Poll(...TRUNCATED) | [{"formula_coordinates":[4.0,147.2,542.39,325.78,11.3],"formula_id":"formula_0","formula_text":"M = (...TRUNCATED) | Real-Time Idling Vehicles Detection Using Combined Audio-Visual Deep Learning | "Combustion vehicle emissions contribute to poor air quality and release greenhouse gases into the a(...TRUNCATED) | "Xiwen Li; Tristalee Mangin; Surojit Saha; Rehman Mohammed; Evan Blanchard; Dillon Tang; Henry Poppe(...TRUNCATED) | [{"figure_caption":"Figure 1 .1Figure 1. Proposed System Design. The yellow arrow collects vehicle m(...TRUNCATED) | "[{\"Category\": \"Methodological Basis\", \"Citation\": \"[1]\", \"Explanation\": \"The cited work (...TRUNCATED) |
[{"figure_ref":[],"heading":"Introduction","publication_ref":["b1","b30","b53","b29","b33"],"table_r(...TRUNCATED) | 2023-10-25 | 10.18653/v1/D15-1008 | [{"authors":"Elliott Ash; Germain Gauthier; Philine Widmer","journal":"","ref_id":"b0","title":"Rela(...TRUNCATED) | [{"formula_coordinates":[2.0,306.43,160.53,194.83,27.4],"formula_id":"formula_0","formula_text":"###(...TRUNCATED) | Natural Language Decompositions of Implicit Content Enable Better Text Representations | "When people interpret text, they rely on inferences that go beyond the observed language itself. In(...TRUNCATED) | Alexander Hoyle; Rupak Sarkar; Pranav Goel; Philip Resnik | [{"figure_caption":"Federallands and waters must not be opened up to fossil fuel extraction. Public (...TRUNCATED) | "[{\"Category\": \"Methodological Basis\", \"Citation\": \"(Bach, 1994)\", \"Explanation\": \"The ci(...TRUNCATED) |
[{"figure_ref":[],"heading":"INTRODUCTION","publication_ref":["b29","b28","b71","b8","b42","b65","b1(...TRUNCATED) | 2024-03-11 | 10.48550/arXiv.1106.6251 | [{"authors":"Ekin Akyürek; Tolga Bolukbasi; Frederick Liu; Binbin Xiong; Ian Tenney; Jacob Andreas;(...TRUNCATED) | [{"formula_coordinates":[3.0,242.49,536.67,262.18,8.99],"formula_id":"formula_0","formula_text":"kGL(...TRUNCATED) | "FAITHFUL AND EFFICIENT EXPLANATIONS FOR NEU-RAL NETWORKS VIA NEURAL TANGENT KERNEL SUR-ROGATE MODEL(...TRUNCATED) | "A recent trend in explainable AI research has focused on surrogate modeling, where neural networks (...TRUNCATED) | "Andrew Engel; Zhichao Wang; Natalie S Frank; Ioana Dumitriu; Sutanay Choudhury; Anand Sarwate; Tony(...TRUNCATED) | [{"figure_caption":"Figure 1 :1Figure 1: Linear Realization of Bert-base Model. Each panel shows a l(...TRUNCATED) | "[{\"Category\": \"Methodological Basis\", \"Citation\": \"(Leavitt & Morcos, 2020)\", \"Explanation(...TRUNCATED) |
[{"figure_ref":[],"heading":"Introduction","publication_ref":["b2"],"table_ref":[],"text":"Generativ(...TRUNCATED) | 2023-08-29 | 10.48550/arXiv.2302.05446 | [{"authors":"E Bengio; M Jain; M Korablyov; D Precup; Y Bengio","journal":"","ref_id":"b0","title":"(...TRUNCATED) | [] | torchgfn: A PyTorch GFlowNet library | "The growing popularity of generative flow networks (GFlowNets or GFNs) from a range of researchers (...TRUNCATED) | Salem Lahlou; Joseph D Viviano; Mila Victor Schmidt; Yoshua Bengio | [{"figure_caption":"Figure 1 :1Figure 1: Hierarchy of the codebase for the v1 release. States and Ac(...TRUNCATED) | "[{\"Category\": \"Supporting Evidence\", \"Citation\": \"(Lahlou et al., 2023)\", \"Explanation\": (...TRUNCATED) |
[{"figure_ref":[],"heading":"Introduction","publication_ref":["b15","b17","b33","b16","b45","b13","b(...TRUNCATED) | 2023-11-05 | 10.18653/v1/2022.naacl-main.135 | [{"authors":"Eneko Agirre; Carmen Banea; Daniel Cer; Mona Diab; Aitor González-Agirre; Rada Mihalce(...TRUNCATED) | [{"formula_coordinates":[3.0,70.87,581.19,189.71,10.82],"formula_id":"formula_0","formula_text":"•(...TRUNCATED) | "Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Composi(...TRUNCATED) | "Traditional sentence embedding models encode sentences into vector representations to capture usefu(...TRUNCATED) | James Y Huang; Wenlin Yao; Kaiqiang Song; Hongming Zhang; Muhao Chen; Dong Yu | [{"figure_caption":" 34.1 51.0 28.1 45.0 Model performance on four textual generation tasks for inte(...TRUNCATED) | "[{\"Category\": \"Methodological Basis\", \"Citation\": \"(Conneau et al., 2018)\", \"Explanation\"(...TRUNCATED) |
[{"figure_ref":[],"heading":"Introduction","publication_ref":["b0","b1","b2","b3"],"table_ref":[],"t(...TRUNCATED) | 2023-05-24 | [{"authors":"Yaobin Zhang; Weihong Deng; Yaoyao Zhong; Jiani Hu; Xian Li; Dongyue Zhao; Dongchao Wen(...TRUNCATED) | [{"formula_coordinates":[2.0,335.22,550.21,209.89,30.32],"formula_id":"formula_0","formula_text":"L (...TRUNCATED) | FaceFusion: Exploiting Full Spectrum of Multiple Datasets | "The size of training dataset is known to be among the most dominating aspects of training high-perf(...TRUNCATED) | Chiyoung Song; Dongjae Lee; Naver Cloud | [{"figure_caption":"Figure 1 :1Figure 1: Overview of FaceFusion. L cls,k and L cls shares the same c(...TRUNCATED) | "[{\"Category\": \"Methodological Basis\", \"Citation\": \"[1]\", \"Explanation\": \"The cited work (...TRUNCATED) | |
[{"figure_ref":["fig_0"],"heading":"Introduction","publication_ref":["b39","b1","b8","b33","b31","b3(...TRUNCATED) | 10.18653/v1/2020.findings-emnlp.91 | [{"authors":"Antoine Bosselut; Omer Levy; Ari Holtzman; Corin Ennis; Dieter Fox; Yejin Choi","journa(...TRUNCATED) | [] | OPENPI2.0: An Improved Dataset for Entity Tracking in Texts | "Much text describes a changing world (e.g., procedures, stories, newswires), and understanding them(...TRUNCATED) | Li Zhang; Hainiu Xu; Abhinav Kommula; Chris Callison-Burch; Niket Tandon | [{"figure_caption":"Figure 1 :1Figure 1: For each step in a procedure, OPENPI annotates the state ch(...TRUNCATED) | "[{\"Category\": \"Methodological Basis\", \"Citation\": \"(Weston et al., 2015)\", \"Explanation\":(...TRUNCATED) | |
[{"figure_ref":[],"heading":"Introduction","publication_ref":["b16","b10","b3"],"table_ref":[],"text(...TRUNCATED) | 2024-02-13 | 10.18653/v1/2020.acl-main.485 | [{"authors":"Abubakar Abid; Maheen Farooqi; James Zou","journal":"Nature Machine Intelligence","ref_(...TRUNCATED) | [{"formula_coordinates":[5.0,330.4,78.67,169.74,113.25],"formula_id":"formula_0","formula_text":"CS((...TRUNCATED) | "This Land is {Your, My} Land: Evaluating Geopolitical Bias in Language Models through Territorial D(...TRUNCATED) | "Do the Spratly Islands belong to China, the Philippines, or Vietnam? A pretrained large language mo(...TRUNCATED) | Bryan Li; Samar Haider; Chris Callison-Burch | [{"figure_caption":"Figure 2 :2Figure 2: Illustration of comparisons made for the CS metrics. KB CS,(...TRUNCATED) | "[{\"Category\": \"Supporting Evidence\", \"Citation\": \"(Petroni et al., 2019)\", \"Explanation\":(...TRUNCATED) |
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