Page 4 - 1200+ Top Association for Computing Machinery (ACM) Online Courses [2024]

IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues

Enhanced Packed Marker with Entity Information for Aspect Sentiment Triplet Extraction - NLP

Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion - Lecture 1

Steering Large Language Models for Cross-lingual Information Retrieval - Multilingual Retrieval

Multilingual Meta-Distillation Alignment for Semantic Retrieval - Session M2.4

GraphGPT: Graph Instruction Tuning for Large Language Models - Session M2.2

Generative Retrieval via Term Set Generation - The Future of Search with LLMs

The Power of Noise: Redefining Retrieval for RAG Systems - Session M3.1

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation - M2.6

Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition - Lecture 1

Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation - Session M3.2

Scaling Laws for Dense Retrieval

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation - Tutorial 2.5

Large Language Models for Next Point-of-Interest Recommendation - Tutorial 2.4

Disentangled Contrastive Hypergraph Learning for Next POI Recommendation - Lecture 4

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Association for Computing Machinery (ACM) Courses

IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues

Enhanced Packed Marker with Entity Information for Aspect Sentiment Triplet Extraction - NLP

Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion - Lecture 1

Steering Large Language Models for Cross-lingual Information Retrieval - Multilingual Retrieval

Multilingual Meta-Distillation Alignment for Semantic Retrieval - Session M2.4

GraphGPT: Graph Instruction Tuning for Large Language Models - Session M2.2

Generative Retrieval via Term Set Generation - The Future of Search with LLMs

The Power of Noise: Redefining Retrieval for RAG Systems - Session M3.1

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation - M2.6

Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition - Lecture 1

Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation - Session M3.2

Scaling Laws for Dense Retrieval

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation - Tutorial 2.5

Large Language Models for Next Point-of-Interest Recommendation - Tutorial 2.4

Disentangled Contrastive Hypergraph Learning for Next POI Recommendation - Lecture 4

Association for Computing Machinery (ACM) Courses

IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues

Enhanced Packed Marker with Entity Information for Aspect Sentiment Triplet Extraction - NLP

Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion - Lecture 1

Steering Large Language Models for Cross-lingual Information Retrieval - Multilingual Retrieval

Multilingual Meta-Distillation Alignment for Semantic Retrieval - Session M2.4

GraphGPT: Graph Instruction Tuning for Large Language Models - Session M2.2

Generative Retrieval via Term Set Generation - The Future of Search with LLMs

The Power of Noise: Redefining Retrieval for RAG Systems - Session M3.1

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation - M2.6

Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition - Lecture 1

Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation - Session M3.2

Scaling Laws for Dense Retrieval

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation - Tutorial 2.5

Large Language Models for Next Point-of-Interest Recommendation - Tutorial 2.4

Disentangled Contrastive Hypergraph Learning for Next POI Recommendation - Lecture 4