https://arxiv.org/pdf/2506.06677

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

Implementation for OAgents: An Empirical Study of Building Effective Agents

Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.

A conda-forge distribution.

[Neurips 2025] R-KV: Redundancy-aware KV Cache Compression for Reasoning Models

Official style files for papers submitted to venues of the Association for Computational Linguistics

Unified KV Cache Compression Methods for Auto-Regressive Models

Awesome-LLM-KV-Cache: A curated list of 📙Awesome LLM KV Cache Papers with Codes.

🔍 Search-o1: Agentic Search-Enhanced Large Reasoning Models [EMNLP 2025]

DeciMamba: Exploring the Length Extrapolation Potential of Mamba (ICLR 2025)

Paper list for Efficient Reasoning.

Robust recipes to align language models with human and AI preferences

【ACL 2024】 SALAD benchmark & MD-Judge

Sparse Autoencoder for Mechanistic Interpretability

Repository for the Paper (AAAI 2024, Oral) --- Visual Adversarial Examples Jailbreak Large Language Models

[NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models

Accepted by ECCV 2024

✨✨Latest Advances on Multimodal Large Language Models

[COLM 2025] What is the Visual Cognition Gap between Humans and Multimodal LLMs?

A curated list of Large Language Model (LLM) Interpretability resources.

S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions

[ECCV 2024 - Oral] Official PyTorch Implementation of "Adversarial Robustification via Text-to-Image Diffusion Models"

Plotting heatmaps with the self-attention of the [CLS] tokens in the last layer.

official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"

Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)