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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/studyzx/gesturegpt_iss

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GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model Agents

https://github.com/stupidbuluchacha/urbanclip

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UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web

https://github.com/styfeng/GenAug

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GenAug: Data Augmentation for Finetuning Text Generators

https://github.com/styfeng/tinydialogues

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Is Child-Directed Speech Effective Training Data for Language Models?

https://github.com/subbareddy248/speech-llm-brain

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Speech language models lack important brain-relevant semantics

https://github.com/sufe-aiflm-lab/fin-r1

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Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning

https://github.com/sufianj/def_extraction

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Extracting Definienda in Mathematical Scholarly Articles with Transformers

https://github.com/sujeongim/labtop

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LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records

https://github.com/sulcantonin/llm_neuralips23

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PACuna: Automated Fine-Tuning of Language Models for Particle Accelerators

https://github.com/sumin124/mv-clam

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MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Model

https://github.com/sumit-research/lmcore

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LM-CORE: Language Models with Contextually Relevant External Knowledge

https://github.com/sungraepark/AdvDrop-sMNIST

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Adversarial Dropout for Recurrent Neural Networks

https://github.com/sungraepark/adversarial_dropout_text_classification

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Adversarial Dropout for Recurrent Neural Networks

https://github.com/sunnweiwei/co-bench

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CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization

https://github.com/sunset-clouds/DAVAM

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Discrete Auto-regressive Variational Attention Models for Text Modeling

https://github.com/sunsmarterjie/chatterbox

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ChatterBox: Multi-round Multimodal Referring and Grounding

https://github.com/sunxiaojie99/attempt

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Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval

https://github.com/sunyilgdx/prompts4keras

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NSP-BERT: A Prompt-based Few-Shot Learner Through an Original Pre-training Task--Next Sentence Prediction

https://github.com/superMereo/generating-event-descriptions

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Generating event descriptions under syntactic and semantic constraints

https://github.com/suprityoung/zhongjing

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Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn Dialogue

https://github.com/sustcsonglin/TN-PCFG

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Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs

https://github.com/sustcsonglin/flash-linear-attention

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Linear Transformers with Learnable Kernel Functions are Better In-Context Models

https://github.com/suu990901/Dial-MAE

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Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems

https://github.com/suu990901/LLaMA-InfoEntropy-Loss

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MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models

https://github.com/suvodipdey/bok

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BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response Generation

https://github.com/suzgunmirac/hupd

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The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

https://github.com/suzgunmirac/marnns

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Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages

https://github.com/suzyahyah/icl_anti-lm_decoding

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Anti-LM Decoding for Zero-shot In-context Machine Translation

https://github.com/swaggy66/M-ABSA

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M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis

https://github.com/swagshaw/wilddesed

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WildDESED: An LLM-Powered Dataset for Wild Domestic Environment Sound Event Detection System

https://github.com/swathi-shree-narashiman/alphazip

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AlphaZip: Neural Network-Enhanced Lossless Text Compression

https://github.com/swe-gym/swe-gym

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Training Software Engineering Agents and Verifiers with SWE-Gym

https://github.com/swj0419/in-context-pretraining

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In-context Pretraining: Language Modeling Beyond Document Boundaries

https://github.com/swordelucidator/nanobackpacklm

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Character-level Chinese Backpack Language Models

https://github.com/swordlidev/llava-vsd

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LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description

https://github.com/sy-shi/RLAIF_ScoreDiff

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Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models

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