target-benchmark / target
TARGET is a benchmark for evaluating Table Retrieval for Generative Tasks such as Fact Verification and Text-to-SQL
☆21Updated this week
Alternatives and similar repositories for target:
Users that are interested in target are comparing it to the libraries listed below
- Code for EMNLP 2024 paper "Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning"☆53Updated 6 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆55Updated 7 months ago
- Code for RATIONALYST: Pre-training Process-Supervision for Improving Reasoning https://arxiv.org/pdf/2410.01044☆32Updated 6 months ago
- [arXiv preprint] Official Repository for "Evaluating Language Models as Synthetic Data Generators"☆34Updated 3 months ago
- A collection of AWESOME language modeling techniques on tabular data applications.☆29Updated 5 months ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- ☆51Updated 9 months ago
- Code and Dataset for Learning to Solve Complex Tasks by Talking to Agents☆24Updated 2 years ago
- The code implementation of MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models…☆33Updated last year
- Code and data for "StructLM: Towards Building Generalist Models for Structured Knowledge Grounding" (COLM 2024)☆76Updated 5 months ago
- ReBase: Training Task Experts through Retrieval Based Distillation☆28Updated last month
- "Syntriever: How to Train Your Retriever with Synthetic Data from LLMs" the Nations of the Americas Chapter of the Association for Comput…☆24Updated 3 weeks ago
- Python package for generating datasets to evaluate reasoning and retrieval of large language models☆16Updated this week
- DSBench: How Far are Data Science Agents from Becoming Data Science Experts?☆46Updated last month
- Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Ref…☆47Updated last month
- ☆41Updated 2 months ago
- ☆24Updated 6 months ago
- This is the implementation for the paper "LARGE LANGUAGE MODEL CASCADES WITH MIX- TURE OF THOUGHT REPRESENTATIONS FOR COST- EFFICIENT REA…☆19Updated 10 months ago
- [ACL 2023] Few-shot Reranking for Multi-hop QA via Language Model Prompting☆27Updated last year
- Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs☆34Updated last year
- ☆30Updated last year
- Codebase accompanying the Summary of a Haystack paper.☆76Updated 6 months ago
- Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)☆44Updated 2 months ago
- Exploration of automated dataset selection approaches at large scales.☆34Updated 3 weeks ago
- Simple replication of [ColBERT-v1](https://arxiv.org/abs/2004.12832).☆80Updated last year
- EMNLP 2024 "Re-reading improves reasoning in large language models". Simply repeating the question to get bidirectional understanding for…☆25Updated 3 months ago
- Code and Data for "Language Modeling with Editable External Knowledge"☆32Updated 9 months ago
- Aioli: A unified optimization framework for language model data mixing☆22Updated 2 months ago
- Code/data for MARG (multi-agent review generation)☆41Updated 4 months ago
- Implementation of "SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models"☆27Updated last month