Alternatives and similar repositories for Data-Efficient-Scaling:

Users that are interested in Data-Efficient-Scaling are comparing it to the libraries listed below

• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆25Updated 9 months ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆34Updated 9 months ago
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆40Updated 3 months ago
• RUCAIBox / JiuZhang3.0
  The code and data for the paper JiuZhang3.0
  ☆40Updated 7 months ago
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆43Updated last month
• yale-nlp / refdpo
  ☆15Updated 5 months ago
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆41Updated 5 months ago
• thu-coai / MiniPLM
  ☆27Updated last month
• chenllliang / MMEvalPro
  Source code for MMEvalPro, a more trustworthy and efficient benchmark for evaluating LMMs
  ☆22Updated 3 months ago
• thunlp / Modularity-Analysis
  Repo for ACL2023 Findings paper "Emergent Modularity in Pre-trained Transformers"
  ☆21Updated last year
• mathllm / Step-Controlled_DPO
  ☆20Updated 6 months ago
• formll / resolving-scaling-law-discrepancies
  ☆16Updated 6 months ago
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆75Updated 3 months ago
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆48Updated last year
• twinkle0331 / LGTM
  [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…
  ☆38Updated last year
• VITA-Group / Ms-PoE
  "Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding" Zhenyu Zhang, Runjin Chen, Shiw…
  ☆25Updated 8 months ago
• PKU-ML / LongPPL
  ☆27Updated 2 months ago
• HazyResearch / prefix-linear-attention
  ☆47Updated 6 months ago
• VITA-Group / o1-planning
  On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability
  ☆36Updated 2 months ago
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆41Updated last week
• JayZhang42 / SLED
  SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433
  ☆18Updated last month
• ctlllll / reward_collapse
  ☆26Updated last year
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆33Updated 3 months ago
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆28Updated 7 months ago
• VITA-Group / Junk_DNA_Hypothesis
  [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…
  ☆16Updated 7 months ago
• DRSY / KV_Compression
  [EMNLP 2023]Context Compression for Auto-regressive Transformers with Sentinel Tokens
  ☆22Updated last year
• SqueezeAILab / SqueezedAttention
  SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference
  ☆36Updated last month
• hyp1231 / ICLR2023-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆18Updated 2 years ago
• Yifan-Song793 / GoodBadGreedy
  The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
  ☆26Updated 6 months ago
• whyNLP / Conic10K
  Conic10K: A large-scale dataset for closed-vocabulary math problem understanding. Accepted to EMNLP2023 Findings.
  ☆25Updated last year