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Language Modeling

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

https://github.com/joshua-ren/iicl

공식 코드

Bias Amplification in Language Model Evolution: An Iterated Learning Perspective

https://github.com/joshua-zingale/plug-and-play-rst-ctg

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Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method

https://github.com/joshuachou2018/autoba

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Automated Bioinformatics Analysis via AutoBA

https://github.com/josipjukic/adapter-al

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Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings

https://github.com/joydajunspacecraft/assertion_llm

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Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning

https://github.com/joyheyueya/declarative-math-word-problem

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Solving Math Word Problems by Combining Language Models With Symbolic Solvers

https://github.com/joylimjy/leceval

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LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning

https://github.com/jp2425/scope2

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Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection

https://github.com/jpickard1/brad

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Language Model Powered Digital Biology with BRAD

https://github.com/jrc1995/investigatingrecurrenttransformers

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Investigating Recurrent Transformers with Dynamic Halt

https://github.com/jshang123/G-Bert

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Pre-training of Graph Augmented Transformers for Medication Recommendation

https://github.com/jshilong/gpt4roi

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GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

https://github.com/jshin49/ds2

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Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking

https://github.com/jsksxs360/prompt-event-coref-emnlp2023

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CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities

https://github.com/jthickstun/watermark

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Robust Distortion-free Watermarks for Language Models

https://github.com/jtonglet/seer

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SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA

https://github.com/jtwang2000/freeshap

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Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions

https://github.com/juice500ml/xlm_to_xlsr

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Distilling a Pretrained Language Model to a Multilingual ASR Model

https://github.com/juletx/self-translate

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Do Multilingual Language Models Think Better in English?

https://github.com/juliagrosse/ults

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Uncertainty-Guided Optimization on Large Language Model Search Trees

https://github.com/julian121266/RecurrentHighwayNetworks

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Recurrent Highway Networks

https://github.com/juliancodaforno/cogbench

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CogBench: a large language model walks into a psychology lab

https://github.com/jumelet/prime-factors

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Do Language Models Exhibit Human-like Structural Priming Effects?

https://github.com/junchenzhi/neural-hidden-crf

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Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler

https://github.com/jungjee/augsumm

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AugSumm: towards generalizable speech summarization using synthetic labels from large language model

https://github.com/juntang-zhuang/Adabelief-Optimizer

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AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

https://github.com/justarter/flip

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FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction

https://github.com/justinchiu/low-rank-models

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Low-Rank Constraints for Fast Inference in Structured Models

https://github.com/justinlovelace/diffusion-guided-lm

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Diffusion Guided Language Modeling

https://github.com/justinlovelace/sesd

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Sample-Efficient Diffusion for Text-To-Speech Synthesis

https://github.com/jwallat/knowledge-probing

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BERTnesia: Investigating the capture and forgetting of knowledge in BERT

https://github.com/jwentong/wirelessagent_r1

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WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

https://github.com/jwh97nn/anyref

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Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception

https://github.com/jwkirchenbauer/lm-watermarking

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A Watermark for Large Language Models

https://github.com/jxhe/efficient-knnlm

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Efficient Nearest Neighbor Language Models

https://github.com/jxhe/sparse-text-prototype

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Learning Sparse Prototypes for Text Generation

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