Papers with Code 아카이브

Table-to-Text Generation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 1
평가표: 8
보존된 평가 기록: 21

**Here is the provided data converted into a table format for clarity: COUNTRIES 1971-2010 2011 2012 2013 2014 2015 2016 2017 2018

Saudi Arabia 2742962 222247 358560 270502 312489 522750 462598 143363 100910 U.A.E 1595574 156353 182630 273234 350522 326986 295647 275436 208635 Oman 394436 53525 69407 47794 39793 47788 45085 42362 27202 Qatar 82043 5121 7320 8119 10042 12741 9706 11592 20993 Bahrain 94599 10641 10530 9600 9226 9029 8226 7919 5745 Kuwait 180755 173 5 229 132 164 770 773 493 South Korea 15343 12 7 12 46 13 17 9 13 Malaysia 23410 2092 1309 2031 20577 20216 10625 7174 9881 China 1717 180 220 155 254 355 482 457 854 Algeria 878 7 2 7 36 211 259 461 213 Angola 601 8 6 8 1 22 22 12 11 Azerbaijan 51 0 3 98 22 8 8 8 20 Brunei 998 79 74 67 48 85 85 212 225 Cameroon 48 15 0 0 3 2 0 1 4 Croatia 44 1 0 0 0 0 0 0 0 Cyprus 922 71 129 111 278 500 990 1729 1644 Gabon 299 2 4 1 8 0 0 2 0 Gen-Island 195 0 0 0 0 2 0 0 0 Germany 187 11 23 26 23 43 38 64 103 Greece 542 0 0 0 0 2 3 2 3 Guinea 144 15 12 13 6 10 11 6 11 Hong Kong 252 26 17 20 38 29 38 54 57 Iran 12586 14 3 26 5 65 37 100 20 Iraq 68135 0 32 951 1041 709 543 599 756 Italy 17763 2875 3361 2068 1563 431 242 141 86 Japan 380 48 62 44 69 82 102 153 258 Jordan 5341 178 279 345 328 321 282 285 170 Kenya 67 11 8 6 3 11 15 8 17 Lebanon 432 30 23 15 57 33 42 24 27 Libya 72112 490 1872 4543 2121 8 0 4 8 Morocco 44 0 0 0 2 0 0 1 5 Nigeria 2665 166 142 117 113 106 104 75 115

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Table-to-Text Generation

논문

The Challenge of Achieving Attributability in Multilingual Table-to-Text Generation with Question-Answer Blueprints

DETQUS: Decomposition-Enhanced Transformers for QUery-focused Summarization

Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models

Table-to-Text Generation with Pretrained Diffusion Models

Facts-and-Feelings: Capturing both Objectivity and Subjectivity in Table-to-Text Generation

Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data

Towards Controlled Table-to-Text Generation with Scientific Reasoning

PixT3: Pixel-based Table-To-Text Generation

HeLM: Highlighted Evidence augmented Language Model for Enhanced Table-to-Text Generation

Automatic Logical Forms improve fidelity in Table-to-Text generation

Effective Distillation of Table-based Reasoning Ability from LLMs

Tackling Hallucinations in Neural Chart Summarization

Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios

QTSumm: Query-Focused Summarization over Tabular Data

ReTAG: Reasoning Aware Table to Analytic Text Generation

Towards Zero-Shot Personalized Table-to-Text Generation with Contrastive Persona Distillation

TabGenie: A Toolkit for Table-to-Text Generation

Adapting Knowledge for Few-shot Table-to-Text Generation

Improving User Controlled Table-To-Text Generation Robustness

Plan-then-Seam: Towards Efficient Table-to-Text Generation

Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization

LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control

Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach

ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples

Table-To-Text generation and pre-training with TabT5

Few-Shot Table-to-Text Generation with Prefix-Controlled Generator

0/1 Deep Neural Networks via Block Coordinate Descent

PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation

Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint

Diversity Enhanced Table-to-Text Generation via Type Control

Arithmetic-Based Pretraining -- Improving Numeracy of Pretrained Language Models

Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning

Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots

NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics

Few-Shot Table-to-Text Generation with Prototype Memory

HTLM: Hyper-Text Pre-Training and Prompting of Language Models