Alternatives and similar repositories for RobuT:

Users that are interested in RobuT are comparing it to the libraries listed below

• psunlpgroup / MultiHiertt
  Data and code for ACL 2022 paper "MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data"
  ☆42Updated 5 months ago
• XinyuanLu00 / SciTab
  The project page for "SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables"
  ☆20Updated last year
• zhongwanjun / CARP
  code for the table-based open domain question answering project, with paper title: "Reasoning over Hybrid Chain for Table-and-Text Open D…
  ☆12Updated 2 years ago
• lfy79001 / RegHNT
  Code for COLING 2022 long paper: Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-…
  ☆22Updated 2 years ago
• oriyor / turning_tables
  Implementation of the paper: "Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning…
  ☆22Updated 3 years ago
• siyuyuan / coscript
  Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning
  ☆36Updated last year
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆39Updated 2 years ago
• liyongqi67 / MMCoQA
  ☆31Updated last year
• jzbjyb / OmniTab
  Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering
  ☆29Updated 2 years ago
• yale-nlp / QTSumm
  Data and Code for EMNLP 2023 paper "QTSumm: Query-Focused Summarization over Tabular Data"
  ☆21Updated 11 months ago
• jtonglet / Numerical-Hybrid-QA-Literature
  A list of Numerical Multimodal reasoning papers and their implementation
  ☆9Updated 10 months ago
• dqxiu / KAssess
  ☆15Updated last year
• koalazf99 / tacube
  [EMNLP 2022] TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
  ☆18Updated last year
• Yale-LILY / ReasTAP
  Data and Code for EMNLP 2022 paper "ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples"
  ☆14Updated last year
• Jun-jie-Huang / OTTeR
  🦦 Source Code for EMNLP-22 findings paper "Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in…
  ☆20Updated last year
• Leolty / tablellm
  ☆23Updated last year
• WebQnA / WebQA
  ☆49Updated 2 months ago
• NeuraSearch / NeurIPS-2022-Submission-3358
  This is the code for the Submission 3358 at NeurIPS 2022.
  ☆21Updated 2 years ago
• zorazrw / trove
  [ICML'24] TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks
  ☆25Updated 6 months ago
• HKUNLP / ZeroGen
  [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
  ☆16Updated 3 years ago
• SiyuanWangw / StepwiseQA
  The code of Paper "Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering".
  ☆21Updated 2 years ago
• UKPLab / SciGen
  ☆17Updated 3 years ago
• krystalan / chatgpt_as_nlg_evaluator
  Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study
  ☆43Updated 2 years ago
• DAMO-NLP-SG / RemeMo
  [EMNLP 2023] Once Upon a *Time* in *Graph*: Relative-Time Pretraining for Complex Temporal Reasoning
  ☆17Updated last year
• qiancheng0 / CREATOR
  This is the repository for paper "CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models"
  ☆23Updated last year
• PKU-TANGENT / ConFiguRe
  Dataset and baseline for Coling 2022 long paper (oral): "ConFiguRe: Exploring Discourse-level Chinese Figures of Speech"
  ☆11Updated last year
• lfy79001 / S3HQA
  [ACL 2023] S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering
  ☆19Updated last year
• Yifan-Song793 / InfoCL
  Findings of EMNLP 2023: InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspe…
  ☆14Updated 7 months ago
• microsoft / HiTab
  [ACL 2022] A hierarchical table dataset for question answering and data-to-text generation.
  ☆80Updated last week
• Di-viner / LLM-Robustness-to-Irrelevant-Information
  [COLM'24] "How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?"
  ☆21Updated 5 months ago