ahstat / episodic-memory-benchmarkLinks
Synthetic data generation and benchmark implementation for "Episodic Memories Generation and Evaluation Benchmark for Large Language Models" [ICLR 2025]
☆56Updated 3 weeks ago
Alternatives and similar repositories for episodic-memory-benchmark
Users that are interested in episodic-memory-benchmark are comparing it to the libraries listed below
Sorting:
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆60Updated last year
- ☆80Updated last week
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆172Updated 9 months ago
- Functional Benchmarks and the Reasoning Gap☆89Updated last year
- ☆86Updated last year
- Official repo for Learning to Reason for Long-Form Story Generation☆72Updated 6 months ago
- PyTorch library for Active Fine-Tuning☆93Updated last month
- ☆55Updated 11 months ago
- Code for RATIONALYST: Pre-training Process-Supervision for Improving Reasoning https://arxiv.org/pdf/2410.01044☆35Updated last year
- ☆122Updated 8 months ago
- Learning to Retrieve by Trying - Source code for Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval☆51Updated 11 months ago
- Simple GRPO scripts and configurations.☆59Updated 8 months ago
- Implementation of the paper: "AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?"☆63Updated 10 months ago
- ReBase: Training Task Experts through Retrieval Based Distillation☆29Updated 8 months ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆92Updated 11 months ago
- Repository for "I am a Strange Dataset: Metalinguistic Tests for Language Models"☆44Updated last year
- Official Repo for InSTA: Towards Internet-Scale Training For Agents☆56Updated 3 months ago
- ☆102Updated 9 months ago
- [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers☆73Updated 4 months ago
- Repository for the paper Stream of Search: Learning to Search in Language☆151Updated 8 months ago
- EvaByte: Efficient Byte-level Language Models at Scale☆110Updated 6 months ago
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆90Updated last year
- ☆33Updated 9 months ago
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆71Updated last year
- Evaluating LLMs with fewer examples☆163Updated last year
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆43Updated 3 weeks ago
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆82Updated 11 months ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆75Updated last year
- ☆69Updated last year
- ☆55Updated last year