Cover Image

BlendX: Complex Multi-Intent Detection with Blended Patterns

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yoon, Yejin, Lee, Jungyeon, Kim, Kangsan, Park, Chanhee, Kim, Taeuk
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation
by: Lee, Jungyeon, et al.
Published: (2025)

Latent Preference Modeling for Cross-Session Personalized Tool Calling
by: Yoon, Yejin, et al.
Published: (2026)

Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational Agents
by: Yoon, Yejin, et al.
Published: (2025)

FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning
by: Kim, Seunghee, et al.
Published: (2024)

Analysis of Utterance Embeddings and Clustering Methods Related to Intent Induction for Task-Oriented Dialogue
by: Park, Jeiyoon, et al.
Published: (2022)

Multi-Facet Blending for Faceted Query-by-Example Retrieval
by: Do, Heejin, et al.
Published: (2024)

Ever-Evolving Memory by Blending and Refining the Past
by: Kim, Seo Hyun, et al.
Published: (2024)

When to Speak, When to Abstain: Contrastive Decoding with Abstention
by: Kim, Hyuhng Joon, et al.
Published: (2024)

KITE: A Benchmark for Evaluating Korean Instruction-Following Abilities in Large Language Models
by: Kim, Dongjun, et al.
Published: (2025)

Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent Systems
by: So, Namyoung, et al.
Published: (2026)

Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection
by: Park, Choonghyun, et al.
Published: (2024)

Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents
by: Kim, Suji, et al.
Published: (2026)

ToBlend: Token-Level Blending With an Ensemble of LLMs to Attack AI-Generated Text Detection
by: Huang, Fan, et al.
Published: (2024)

OmniACBench: A Benchmark for Evaluating Context-Grounded Acoustic Control in Omni-Modal Models
by: Kim, Seunghee, et al.
Published: (2026)

IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering
by: Kim, Jieyong, et al.
Published: (2025)

Analysis of Multi-Source Language Training in Cross-Lingual Transfer
by: Lim, Seong Hoon, et al.
Published: (2024)

WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning
by: Yeo, Woongyeong, et al.
Published: (2025)

KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking
by: Kim, Juyeon, et al.
Published: (2025)

Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
by: Prahlad, Deeksha, et al.
Published: (2025)

Aligning Language Models to Explicitly Handle Ambiguity
by: Kim, Hyuhng Joon, et al.
Published: (2024)

Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning
by: Ko, Youmin, et al.
Published: (2024)

RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrieval
by: Oh, Minhae, et al.
Published: (2025)

Hyper-CL: Conditioning Sentence Representations with Hypernetworks
by: Yoo, Young Hyun, et al.
Published: (2024)

Revisiting the Impact of Pursuing Modularity for Code Generation
by: Kang, Deokyeong, et al.
Published: (2024)

ADVICE: Answer-Dependent Verbalized Confidence Estimation
by: Seo, Ki Jung, et al.
Published: (2025)

Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
by: Kim, Youna, et al.
Published: (2024)

Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models
by: Lee, Hwiyeong, et al.
Published: (2025)

OMHBench: Benchmarking Balanced and Grounded Omni-Modal Multi-Hop Reasoning
by: Kim, Seunghee, et al.
Published: (2025)

BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
by: Wang, Haoyu, et al.
Published: (2024)

CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model
by: Go, Dongyoung, et al.
Published: (2024)

CHOP: Chunkwise Context-Preserving Framework for RAG on Multi Documents
by: Park, Hyunseok, et al.
Published: (2026)

MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU
by: Li, Yan, et al.
Published: (2024)

Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection
by: Kim, San, et al.
Published: (2025)

Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification
by: Park, Gyutae, et al.
Published: (2024)

UniKnow: A Unified Framework for Reliable Language Model Behavior across Parametric and External Knowledge
by: Kim, Youna, et al.
Published: (2025)

M3-SLU: Evaluating Speaker-Attributed Reasoning in Multimodal Large Language Models
by: Kwon, Yejin, et al.
Published: (2025)

Memorization or Reasoning? Exploring the Idiom Understanding of LLMs
by: Kim, Jisu, et al.
Published: (2025)

Memory Transfer Learning: How Memories are Transferred Across Domains in Coding Agents
by: Kim, Kangsan, et al.
Published: (2026)

MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation
by: Park, Chanhee, et al.
Published: (2025)

RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
by: Park, Jonggwon, et al.
Published: (2025)