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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/semantic-systems/nfdi-search-engine-chatbot

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Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway

https://github.com/sen33/end-to-end-dialogue-system

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A Comparative Study on Language Models for Task-Oriented Dialogue Systems

https://github.com/senderle/lexpart

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Toward a Thermodynamics of Meaning

https://github.com/seonghyeonye/flipped-learning

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Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners

https://github.com/seonglae/rtsum

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RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization

https://github.com/seongminp/transformers-into-vaes

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Finetuning Pretrained Transformers into Variational Autoencoders

https://github.com/seoyeon-p/tdmixup

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A Data Cartography based MixUp for Pre-trained Language Models

https://github.com/seq-to-mind/DDP_parsing

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Improving Multi-Party Dialogue Discourse Parsing via Domain Integration

https://github.com/sergiotasconmorales/imp_vqa

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Logical Implications for Visual Question Answering Consistency

https://github.com/servicenow/browsergym

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WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?

https://github.com/servicenow/promptmix-emnlp-2023

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PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation

https://github.com/servicenow/workarena

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WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?

https://github.com/seungheondoh/lp-music-caps

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LP-MusicCaps: LLM-Based Pseudo Music Captioning

https://github.com/seungheondoh/lp-music-dialog

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Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models

https://github.com/seungheondoh/music-text-representation-pp

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Enriching Music Descriptions with a Finetuned-LLM and Metadata for Text-to-Music Retrieval

https://github.com/seungyoon1/llm-as-a-judge-human-eval

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Can Language Models Evaluate Human Written Text? Case Study on Korean Student Writing for Education

https://github.com/sewoonglab/byte-sampler

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Sampling from Your Language Model One Byte at a Time

https://github.com/seyedparsa/let-me-think

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Let Me Think! A Long Chain-of-Thought Can Be Worth Exponentially Many Short Ones

https://github.com/seyoungsong/classical-chinese-transfer

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When Does Classical Chinese Help? Quantifying Cross-Lingual Transfer in Hanja and Kanbun

https://github.com/seznam/dareczech

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Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset

https://github.com/sfanxiang/nano

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Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control

https://github.com/sfulay/truth_politics

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On the Relationship between Truth and Political Bias in Language Models

https://github.com/sgl-project/sglang

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SGLang: Efficient Execution of Structured Language Model Programs

https://github.com/sh0416/clrcmd

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Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning

https://github.com/shaier/comet

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More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing

https://github.com/shaier/probing_template_based_template_free

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Comparing Template-based and Template-free Language Model Probing

https://github.com/shailaja183/objectconceptlearning

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Help Me Identify: Is an LLM+VQA System All We Need to Identify Visual Concepts?

https://github.com/shainarazavi/safe-responsible-llm

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Developing Safe and Responsible Large Language Model : Can We Balance Bias Reduction and Language Understanding in Large Language Models?

https://github.com/shan23chen/cross-care

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Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias

https://github.com/shaochenze/patchtrain

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Beyond Next Token Prediction: Patch-Level Training for Large Language Models

https://github.com/shaochenze/scoringruleslm

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Language Generation with Strictly Proper Scoring Rules

https://github.com/shaojiejiang/ct-loss

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A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration

https://github.com/shaojintian/power_law_decay

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Power-Law Decay Loss for Large Language Model Finetuning: Focusing on Information Sparsity to Enhance Generation Quality

https://github.com/shaoxiongji/fed-att

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Learning Private Neural Language Modeling with Attentive Aggregation

https://github.com/shark-nlp/cab

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CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling

https://github.com/shark-nlp/evalm

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In-Context Learning with Many Demonstration Examples

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