ZhengxiangShi / InstructionModelling

Related projects: ⓘ

• hbin0701 / Self-Explore
  Self-Explore to avoid ️the p️️it! Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards
  ☆39Updated 4 months ago
• starrYYxuan / LeCo
  This the implementation of LeCo
  ☆16Updated 2 months ago
• ZhengxiangShi / DePT
  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
  ☆90Updated 5 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆33Updated 6 months ago
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
  ☆42Updated last week
• TianduoWang / DPO-ST
  [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
  ☆24Updated last month
• yale-nlp / refdpo
  ☆13Updated last month
• r-three / smear
  ☆24Updated 11 months ago
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆82Updated 2 months ago
• sail-sg / scaling-with-vocab
  📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆52Updated 3 weeks ago
• shankarp8 / knowledge_distillation
  Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).
  ☆23Updated 3 weeks ago
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆62Updated 3 months ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆25Updated 5 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…
  ☆42Updated last year
• ServiceNow / promptmix-emnlp-2023
  Offical code repository for PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation, EMNLP 2023
  ☆10Updated 9 months ago
• Reason-Wang / NAT
  The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agen…
  ☆20Updated 6 months ago
• GAIR-NLP / weak-to-strong-reasoning
  ☆46Updated 2 weeks ago
• FeiyuZhang98 / IncreLoRA
  ☆29Updated last year
• yumeng5 / FewGen
  [ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
  ☆38Updated last year
• wwxu21 / CUT
  Source code of "Reasons to Reject? Aligning Language Models with Judgments"
  ☆54Updated 6 months ago
• Shwai-He / LLM-Drop
  The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
  ☆43Updated last week
• DRSY / KV_Compression
  [EMNLP 2023]Context Compression for Auto-regressive Transformers with Sentinel Tokens
  ☆20Updated 10 months ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆38Updated 2 months ago
• kaistAI / Janus
  [ACL 2024 NLP4ConvAI Oral] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system m…
  ☆33Updated 3 months ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆16Updated last month
• LightChen233 / M3CoT
  ☆31Updated 3 months ago
• RUCAIBox / BAMBOO
  ☆31Updated 5 months ago
• OSU-NLP-Group / LLM-Knowledge-Conflict
  [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
  ☆51Updated 5 months ago
• kamanphoebe / Look-into-MoEs
  A Closer Look into Mixture-of-Experts in Large Language Models
  ☆38Updated last month
• GAIR-NLP / benbench
  Benchmarking Benchmark Leakage in Large Language Models
  ☆39Updated 4 months ago