epfl-dlab / llm-latent-language

Related projects ⓘ

Alternatives and complementary repositories for llm-latent-language

• paul-rottger / exaggerated-safety
  Röttger et al. (2023): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆63Updated 10 months ago
• Glaciohound / LM-Steer
  Official Code Repository for LM-Steer Paper: "Word Embeddings Are Steers for Language Models" (ACL 2024 Outstanding Paper Award)
  ☆62Updated last month
• abertsch72 / long-context-icl
  Data and code for the preprint "In-Context Learning with Long-Context Models: An In-Depth Exploration"
  ☆31Updated 3 months ago
• saprmarks / geometry-of-truth
  ☆71Updated 3 months ago
• zjunlp / KnowledgeCircuits
  [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
  ☆75Updated last month
• yuzhaouoe / SAE-based-representation-engineering
  Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆26Updated 3 weeks ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆45Updated 7 months ago
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆67Updated 5 months ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆54Updated 10 months ago
• dannyallover / overthinking_the_truth
  ☆26Updated 6 months ago
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆63Updated last month
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆24Updated 3 weeks ago
• balevinstein / Probes
  ☆39Updated last year
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆97Updated 7 months ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆54Updated 2 weeks ago
• roeehendel / icl_task_vectors
  ☆81Updated last year
• tatsu-lab / test_set_contamination
  ☆33Updated last year
• google-research-datasets / GSM-IC
  Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…
  ☆55Updated last year
• lyy1994 / awesome-data-contamination
  The Paper List on Data Contamination for Large Language Models Evaluation.
  ☆75Updated this week
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆63Updated last year
• fc2869 / lo-fit
  LoFiT: Localized Fine-tuning on LLM Representations
  ☆21Updated 4 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆84Updated 5 months ago
• logix-project / logix
  AI Logging for Interpretability and Explainability🔬
  ☆89Updated 5 months ago
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆85Updated 3 years ago
• shadowkiller33 / Contrast-Instruction
  ☆19Updated last year
• boyiwei / CoTaEval
  Official code for the paper: Evaluating Copyright Takedown Methods for Language Models
  ☆15Updated 4 months ago
• Nanami18 / Snowballed_Hallucination
  ☆44Updated 2 months ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆59Updated 8 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…
  ☆83Updated 4 months ago
• chujiezheng / LLM-MCQ-Bias
  Official repository for ICLR 2024 Spotlight paper "Large Language Models Are Not Robust Multiple Choice Selectors"
  ☆35Updated 5 months ago