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Codes for our NAACL 2025 paper "From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning"
Familiarity-aware Evidence Compression for Retrieval Augmented Generation
[EMNLP 2024] Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
ChaissonLab / devas
Forked from quentin0515/devasDeep learning validation of SV calls
[SIGIR 2021] Retrieving Complex Tables with Multi-Granular Graph Representation Learning.
A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.
A Comprehensive Benchmark for Robust Multi-image Understanding
Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.
Repository for collecting and categorizing papers outlined in our survey paper: "Large Language Models on Tabular Data -- A Survey".
[NeurIPS 2024] Matryoshka Query Transformer for Large Vision-Language Models
[EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
Code and models for EMNLP 2024 paper "WPO: Enhancing RLHF with Weighted Preference Optimization"
A minimal GPU design in Verilog to learn how GPUs work from the ground up
Code for our NAACL 2024 Paper "Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking"
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
How Fragile is Relation Extraction under Entity Replacements?
[EMNLP 2023] Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations
Codebase for EMNLP paper "Evaluating Large Language Models on Controlled Generation Tasks"
[EMNLP 2023] A Causal View of Entity Bias in (Large) Language Models