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Large Language Model

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/happen2me/subgraph-retrieval-toolkit

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SRTK: A Toolkit for Semantic-relevant Subgraph Retrieval

https://github.com/hardy-education/llm-psychometrics

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"All that Glitters": Approaches to Evaluations with Unreliable Model and Human Annotations

https://github.com/harrialx/security-risk-kg-reasoning

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On the Security Risks of Knowledge Graph Reasoning

https://github.com/harryshomer/kg-mixup

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Toward Degree Bias in Embedding-Based Knowledge Graph Completion

https://github.com/harryshomer/quad

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Learning Representations for Hyper-Relational Knowledge Graphs

https://github.com/harryshomer/tagnet

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Distance-Based Propagation for Efficient Knowledge Graph Reasoning

https://github.com/harrytea/adaptvision

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AdaptVision: Dynamic Input Scaling in MLLMs for Versatile Scene Understanding

https://github.com/harrytea/tgdoc

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Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMs

https://github.com/haruhi-sudo/FTHSS

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Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks

https://github.com/haruhi-sudo/RPG

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Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation

https://github.com/harvey-fin/icl-estimate

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Estimating Large Language Model Capabilities without Labeled Test Data

https://github.com/hasakixie123/llm-evaluator-uncertainty

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An Empirical Analysis of Uncertainty in Large Language Model Evaluations

https://github.com/hasan-rakibul/llmpathy

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Labels Generated by Large Language Model Helps Measuring People's Empathy in Vitro

https://github.com/hasanar1f/hired

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HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models

https://github.com/hcplab-sysu/causalvlr

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MEIA: Multimodal Embodied Perception and Interaction in Unknown Environments

https://github.com/healthylaife/ConTextual

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ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs

https://github.com/healthylaife/autofair

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Enabling Scalable Evaluation of Bias Patterns in Medical LLMs

https://github.com/hecta-uom/m3

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MedMine: Examining Pre-trained Language Models on Medication Mining

https://github.com/heidelberg-nlp/cckg

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Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks

https://github.com/heidelberg-nlp/graphlanguagemodels

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Graph Language Models

https://github.com/hellisotherpeople/debatekg

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DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge Graphs

https://github.com/hellozicky/ppad

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Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion

https://github.com/hemile/iswc-challenge

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Prompting as Probing: Using Language Models for Knowledge Base Construction

https://github.com/hemingkx/speculativedecodingpapers

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Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding

https://github.com/henrypengzou/testnuc

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TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency

https://github.com/henryyantq/optimallm

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Refining the Responses of LLMs by Themselves

https://github.com/heraclex12/NLP2SPARQL

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SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs

https://github.com/hermannkroll/rankingnarrativequerygraphs

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Ranking Narrative Query Graphs for Biomedical Document Retrieval (Technical Report)

https://github.com/hermannkroll/supervisedtextprocessing

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A Library Perspective on Supervised Text Processing in Digital Libraries: An Investigation in the Biomedical Domain

https://github.com/hessaalawwad/plr-tqa

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Enhancing textual textbook question answering with large language models and retrieval augmented generation

https://github.com/hestiasky/imf-pytorch

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IMF: Interactive Multimodal Fusion Model for Link Prediction

https://github.com/hetailang/squeezeattention

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SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget

https://github.com/hexuandeng/drpruning

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DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization

https://github.com/heydaari/CAG

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Context Awareness Gate For Retrieval Augmented Generation

https://github.com/heydarsoudani/ragvsft

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Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge

https://github.com/hhenryd/tap

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Tree of Attributes Prompt Learning for Vision-Language Models

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