Alternatives and similar repositories for factual-knowledge-acquisition:

Users that are interested in factual-knowledge-acquisition are comparing it to the libraries listed below

• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆31Updated 8 months ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆42Updated last year
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆42Updated 2 months ago
• orionw / FollowIR
  FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
  ☆42Updated 7 months ago
• neulab / data-agora
  [arXiv preprint] Official Repository for "Evaluating Language Models as Synthetic Data Generators"
  ☆33Updated 2 months ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆19Updated 6 months ago
• PrasannS / rlhf-length-biases
  ☆27Updated 11 months ago
• kaistAI / GAP
  [ACL 2023] Gradient Ascent Post-training Enhances Language Model Generalization
  ☆29Updated 5 months ago
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 6 months ago
• liujch1998 / memo-trap
  ☆20Updated 2 years ago
• scandukuri / assistant-gate
  ☆20Updated 8 months ago
• skywalker023 / fantom
  👻 Code and benchmark for our EMNLP 2023 paper - "FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions"
  ☆52Updated 8 months ago
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆26Updated last year
• hbin0701 / Self-Explore
  [EMNLP Findings 2024 & ACL 2024 NLRSE Oral] Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards
  ☆48Updated 9 months ago
• nuochenpku / LLaMA_Analysis
  This is official project in our paper: Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers
  ☆29Updated last year
• castorini / perm-sc
  Official codebase for permutation self-consistency.
  ☆16Updated last year
• MikeWangWZHL / Zemi
  Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings
  ☆16Updated last year
• ielab / PromptReps
  Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
  ☆40Updated 3 months ago
• GAIR-NLP / benbench
  Benchmarking Benchmark Leakage in Large Language Models
  ☆49Updated 8 months ago
• allenai / super-benchmark
  ☆40Updated last week
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆35Updated 8 months ago
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆32Updated 2 years ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆39Updated last year
• abhika-m / FAVA
  ☆66Updated last year
• swarnaHub / SummarizationPrograms
  [ICLR 2023] PyTorch code of Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
  ☆23Updated last year
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆48Updated 4 months ago
• google / belief-localization
  This repository includes code for the paper "Does Localization Inform Editing? Surprising Differences in Where Knowledge Is Stored vs. Ca…
  ☆59Updated last year
• austrian-code-wizard / c3po
  ☆27Updated this week
• nathanhu0 / CaMeLS
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Updated last year
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆33Updated 4 months ago