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2025-01-24
UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction
DASFAA 2025
论文详情
2025-01-23
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
ICLR 2025
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2025-01-23
NPTI:Neuron Based Personality Trait Induction in Large Language Models
ICLR 2025
论文详情
2025-01-23
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
ICLR 2025
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2025-01-22
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
NAACL 2025
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2025-01-22
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
NAACL 2025
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2025-01-20
Frequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation
WWW 2025
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2025-01-20
Self-Calibrated Listwise Reranking with Large Language Models
WWW 2025
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2024-12-11
Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model OptimizersPreprint
AAAI 2025
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2024-11-30
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
COLING 2025
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2024-11-30
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning
COLING 2025
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2024-09-27
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
NeurIPS 2024
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2024-09-27
Exploring Context Window of Large Language Models via Decomposed Positional Vectors
NeurIPS 2024
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2024-09-23
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models
ECCV 2024
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2024-09-20
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector
EMNLP 2024
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2024-09-20
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-domain Question Answering
EMNLP 2024
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2024-09-20
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment
EMNLP 2024
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2024-09-20
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
Findings of EMNLP 2024
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2024-09-20
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
Findings of EMNLP 2024
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2024-09-20
AuriSRec: Adversarial User Intention Learning in Sequential Recommendation
Findings of EMNLP 2024
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2024-07-30
Scaling Law of Large Sequential Recommendation Models
RecSys 2024
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2024-07-30
Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation
RecSys 2024
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2024-07-17
Sequence-level Semantic Representation Fusion for Recommender Systems
CIKM 2024 applied research track
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2024-06-19
Rotative Factorization Machines
KDD 2024
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2024-06-19
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
KDD 2024
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2024-05-20
The dawn after the dark: An empirical study on factuality hallucination in large language models
ACL 2024
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2024-05-20
Language-specific neurons: The key to multilingual capabilities in large language models
ACL 2024
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2024-05-20
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression
ACL 2024
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2024-05-20
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
Findings of ACL 2024
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2024-05-20
Improving large language models via fine-grained reinforcement learning with minimum editing constraint
Findings of ACL 2024
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2024-05-16
LLMBox: A Comprehensive Library for Large Language Models
ACL 2024 Demos
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2024-03-26
Privacy-Preserving Cross-Domain Recommendation with Federated Graph Learning
TOIS 2024
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2024-03-26
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention
SIGIR 2024
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2024-03-19
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
ICDE 2024
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2024-03-14
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
NAACL 2024
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2024-02-20
Enhancing Parameter-efficient Fine-tuning with Simple Calibration based on Stable Rank
LREC-COLING 2024
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2024-02-20
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study
LREC-COLING 2024
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2024-02-20
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting
LREC-COLING 2024
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2024-02-20
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models
LREC-COLING 2024
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2024-01-23
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
WWW 2024
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2024-01-01
Dense Text Retrieval based on Pretrained Language Models: A Survey
TOIS 2024
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2023-12-10
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
NeurIPS 2023 Datasets and Benchmarks Track
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2023-12-06
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph
EMNLP 2023
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2023-12-06
Evaluating Object Hallucination in Large Vision-Language Models
EMNLP 2023
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2023-12-06
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
EMNLP 2023
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2023-12-06
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
EMNLP 2023
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2023-12-06
StructGPT: A General Framework for Large Language Model to Reason over Structured Data
EMNLP 2023
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2023-12-06
Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing
Findings of EMNLP 2023
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2023-12-06
A Thorough Examination on Zero-shot Dense Retrieval
Findings of EMNLP 2023
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2023-12-06
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting
Findings of EMNLP 2023
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