ahstat / episodic-memory-benchmarkLinks
Synthetic data generation and benchmark implementation for "Episodic Memories Generation and Evaluation Benchmark for Large Language Models" [ICLR 2025]
☆63Updated 4 months 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:
- ☆91Updated last month
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆61Updated last year
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆175Updated last year
- Functional Benchmarks and the Reasoning Gap☆89Updated last year
- Official repo for Learning to Reason for Long-Form Story Generation☆74Updated 9 months ago
- Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.☆189Updated 11 months ago
- PyTorch library for Active Fine-Tuning☆96Updated 4 months ago
- EvaByte: Efficient Byte-level Language Models at Scale☆115Updated 9 months ago
- ☆91Updated last year
- ☆141Updated 4 months ago
- The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in languag…☆128Updated 4 months ago
- Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna☆59Updated 3 months ago
- ☆56Updated last year
- ☆123Updated 11 months ago
- ReBase: Training Task Experts through Retrieval Based Distillation☆29Updated last year
- Simple GRPO scripts and configurations.☆59Updated last year
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆91Updated last year
- Implementation of the paper: "AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?"☆69Updated last year
- ☆105Updated last year
- [ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?☆90Updated 10 months ago
- Learning to Retrieve by Trying - Source code for Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval☆51Updated last year
- ☆137Updated 10 months ago
- Shaping capabilities with token-level pretraining data filtering☆75Updated last week
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆78Updated last year
- A repository for research on medium sized language models.☆77Updated last year
- A framework for pitting LLMs against each other in an evolving library of games ⚔☆35Updated 9 months ago
- Code for RATIONALYST: Pre-training Process-Supervision for Improving Reasoning https://arxiv.org/pdf/2410.01044☆35Updated last year
- ☆59Updated 2 months ago
- $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources☆150Updated 4 months ago
- Maya: An Instruction Finetuned Multilingual Multimodal Model using Aya☆125Updated 6 months ago