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Language Modelling

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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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Language Modelling

논문

Specification-based Security Evaluation of Real-World Agents Tool-Calling under Long-Horizon Context Tasks

HARDTESTGEN: A High-Quality RL Verifier Generation Pipeline for LLM Algorithmic Coding

Towards the Worst-case Robustness of Large Language Models

Studying word order through iterative shuffling

Semantic Self-Consistency: Enhancing Language Model Reasoning via Semantic Weighting

Theoretical Analysis of Byte-Pair Encoding

Large Language Model Guided Self-Debugging Code Generation

CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model

PaECTER: Patent-level Representation Learning using Citation-informed Transformers

Visual-Language Model Knowledge Distillation Method for Image Quality Assessment

Making Language Model a Hierarchical Classifier and Generator

SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning

InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofing

Describe Anything Model for Visual Question Answering on Text-rich Images

Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility

Assay2Mol: large language model-based drug design using BioAssay context

LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning

Tactical Decision for Multi-UGV Confrontation with a Vision-Language Model-Based Commander

KptLLM++: Towards Generic Keypoint Comprehension with Large Language Model

Mixture of Experts in Large Language Models

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification

KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

Iceberg: Enhancing HLS Modeling with Synthetic Data

MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking

Kodezi Chronos: A Debugging-First Language Model for Repository-Scale, Memory-Driven Code Understanding

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models

MIDI-VALLE: Improving Expressive Piano Performance Synthesis Through Neural Codec Language Modelling

ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way

Lizard: An Efficient Linearization Framework for Large Language Models

Repairing Language Model Pipelines by Meta Self-Refining Competing Constraints at Runtime

Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models

Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model