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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/montemac/activation_additions

공식 코드

Steering Language Models With Activation Engineering

https://github.com/morganlee123/2gptempathicdialogues

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A Linguistic Comparison between Human and ChatGPT-Generated Conversations

https://github.com/morning9393/etpo

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Entropy-Regularized Token-Level Policy Optimization for Language Agent Reinforcement

https://github.com/morningmoni/unipelt

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UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

https://github.com/morteza/cogtext

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Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive Control

https://github.com/mosaicml/examples

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MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining

https://github.com/mosesananta/qless

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QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning

https://github.com/mosheber/token_elimination

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Optimizing Retrieval-augmented Reader Models via Token Elimination

https://github.com/mostafa-mahmoud/chat-gpt-fusion-evaluation

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Can ChatGPT's Responses Boost Traditional Natural Language Processing?

https://github.com/mozzitastebitter/medjex

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MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score

https://github.com/mraihan-gmu/TigerLLM

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TigerLLM -- A Family of Bangla Large Language Models

https://github.com/mrpeerat/sct

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An Efficient Self-Supervised Cross-View Training For Sentence Embedding

https://github.com/mrzilinxiao/autover

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Grounding Language Models for Visual Entity Recognition

https://github.com/mswzeus/PLUS

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Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information

https://github.com/mtanti/mtanti-phd

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Transfer learning from language models to image caption generators: Better models may not transfer better

https://github.com/mtanti/where-image2

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Where to put the Image in an Image Caption Generator

https://github.com/mtkresearch/mr-models

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The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities

https://github.com/mtkresearch/taste-spokenlm

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TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling

https://github.com/mtsomethree/constrdecoding

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Controllable Text Generation with Neurally-Decomposed Oracle

https://github.com/muberraozmen/bncl

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Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification

https://github.com/muellerlab/synthesizing_interpretable_control_policies

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Synthesizing Interpretable Control Policies through Large Language Model Guided Search

https://github.com/mukhal/lepus

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Few-shot Reranking for Multi-hop QA via Language Model Prompting

https://github.com/mukhal/promptrank

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Few-shot Reranking for Multi-hop QA via Language Model Prompting

https://github.com/mukobi/welfare-diplomacy

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Welfare Diplomacy: Benchmarking Language Model Cooperation

https://github.com/multi-iot/multiiot

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IoT-LM: Large Multisensory Language Models for the Internet of Things

https://github.com/multimodal-art-projection/map-neo

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MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series

https://github.com/murali1996/eacl2021-OffensEval-Dravidian

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SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification

https://github.com/murongyue/llm_mot_cascade

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Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning

https://github.com/mutonix/better_masking

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Learning Better Masking for Better Language Model Pre-training

https://github.com/muyeby/AMR-Backparsing

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Online Back-Parsing for AMR-to-Text Generation

https://github.com/mvrl/vlpl

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Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning

https://github.com/mxeddie/demagnosticdebias

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A Robust Bias Mitigation Procedure Based on the Stereotype Content Model

https://github.com/mycal-tucker/mlm_dropout_probes

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When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes

https://github.com/mykelismyname/mslm

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Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER

https://github.com/mylove-xab/kddcupfinal

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Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing

https://github.com/myracheng/anthroscore

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AnthroScore: A Computational Linguistic Measure of Anthropomorphism

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