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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/haileyfamo/insqabench

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InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models

https://github.com/haitaowutju/turing-machine-bench

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Computational Reasoning of Large Language Models

https://github.com/halueval-wild/halueval-wild

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HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild

https://github.com/hanminghao/mscpt

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MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt Tuning

https://github.com/hannaabiakl/nesy-code-generation-workflow

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NeSy is alive and well: A LLM-driven symbolic approach for better code comment data generation and classification

https://github.com/hannight/adacad

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AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge

https://github.com/hannight/ramdocs

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Retrieval-Augmented Generation with Conflicting Evidence

https://github.com/hanshanley/specious-sites

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Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scale

https://github.com/hanyangzhong/situational_planning_datasets

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LLM-SAP: Large Language Models Situational Awareness Based Planning

https://github.com/hanyin88/drg-llama

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DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients

https://github.com/hanyin88/prm-clinic

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Process-Supervised Reward Models for Clinical Note Generation: A Scalable Approach Guided by Domain Expertise

https://github.com/hanzhizhang-ulrica/dam

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DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration

https://github.com/hao-ai-lab/vllm-ltr

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Efficient LLM Scheduling by Learning to Rank

https://github.com/haodongze/self-ksel-qans

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Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering

https://github.com/haon-chen/mme5

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mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data

https://github.com/haonan-li/cmmlu

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CMMLU: Measuring massive multitask language understanding in Chinese

https://github.com/haoqiu-yan/perceptiveagent

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Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction

https://github.com/haoxiangsnr/llm-tse

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Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction

https://github.com/haoyiq114/valor

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VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models

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/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/hecta-uom/m3

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MedMine: Examining Pre-trained Language Models on Medication Mining

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/hessaalawwad/plr-tqa

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

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