https://github.com/tsafavi/negater
공식 코드NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases
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A language model is a model of natural language. Language models are useful for a variety of tasks, including speech recognition, machine translation, natural language generation (generating more human-like text), optical character recognition, route optimization, handwriting recognition, grammar induction, and information retrieval.
Large language models (LLMs), currently their most advanced form, are predominantly based on transformers trained on larger datasets (frequently using words scraped from the public internet). They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.
Source: Wikipedia
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases
Mass-Producing Failures of Multimodal Systems with Language Models
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation
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AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework
AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms
AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks
LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction
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Large Trajectory Models are Scalable Motion Predictors and Planners
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model
Dimension Mixer: Group Mixing of Input Dimensions for Efficient Function Approximation
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding
Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling
FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model
Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language Models
Deriving Disinformation Insights from Geolocalized Twitter Callouts
Tracr-Injection: Distilling Algorithms into Pre-trained Language Models
Token Manipulation Generative Adversarial Network for Text Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.