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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/amir-aghdam/ActAlign

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ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment

https://github.com/amirgroup-codes/astroagents

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AstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data

https://github.com/amitdasrup123/offensivelang

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OffensiveLang: A Community Based Implicit Offensive Language Dataset

https://github.com/amodaresi/memllm

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MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory

https://github.com/amritabh/shield

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Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales

https://github.com/ana-rogoz/poprero

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PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts

https://github.com/anaffinis/llm-vs-lawyers

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LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK Case Law Dataset

https://github.com/ancientshi/erm4

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Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems

https://github.com/andotalao24/multistage-collaborative-knowledge-distillation

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Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation

https://github.com/andreamad8/PPCM

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Plug-and-Play Conversational Models

https://github.com/andreskarjus/genaiexperiment

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Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists

https://github.com/androidarenaagent/androidarena

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Understanding the Weakness of Large Language Model Agents within a Complex Android Environment

https://github.com/andychiangsh/badge

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BADGE: BADminton report Generation and Evaluation with LLM

https://github.com/andyjliu/persona-steered-generation-bias

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Evaluating Large Language Model Biases in Persona-Steered Generation

https://github.com/aniquetahir/JORA

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JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning

https://github.com/anisha2102/molecular_facts

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Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification

https://github.com/anjsimmo/zero-shot-crime-detection

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Garbage in, garbage out: Zero-shot detection of crime using Large Language Models

https://github.com/anlp-team/LTI_Neural_Navigator

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Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases

https://github.com/ann-w/towards-a-deeper-understanding-of-reasoning-capabilities-in-large-language-models

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Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models

https://github.com/anonymous-lgtm/toolcommander

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From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection

https://github.com/anonymouscode-computerscience/ride

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RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars

https://github.com/ant-research/MagicQuill

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MagicQuill: An Intelligent Interactive Image Editing System

https://github.com/ant-research/easytemporalpointprocess

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Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning

https://github.com/ant-research/fin_domain_llm

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WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine

https://github.com/anthonywchen/rarr

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RARR: Researching and Revising What Language Models Say, Using Language Models

https://github.com/anthropics/sycophancy-to-subterfuge-paper

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Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models

https://github.com/antonio-mastropaolo/satd-removal

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Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We?

https://github.com/anudeex/wet

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WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks

https://github.com/aorwall/moatless-tools

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SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement

https://github.com/aorwall/moatless-tree-search

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SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement

https://github.com/apartresearch/seqcont_circuits

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Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models

https://github.com/appl-team/appl

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APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts

https://github.com/apple/ml-ferret

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Ferret: Refer and Ground Anything Anywhere at Any Granularity

https://github.com/apple/ml-hypercloning

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Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization

https://github.com/apple/ml-interactive-data-augmentation

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Exploring Empty Spaces: Human-in-the-Loop Data Augmentation

https://github.com/apple/ml-slowfast-llava

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SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

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