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Response Generation
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A task where an agent should play the $DE$ role and generate a text to respond to a $P$ message.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems
SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification
From What to Respond to When to Respond: Timely Response Generation for Open-domain Dialogue Agents
Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation
CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training
AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders
OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions
Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
DecoupledESC: Enhancing Emotional Support Generation via Strategy-Response Decoupled Preference Optimization
Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
Hallucinate at the Last in Long Response Generation: A Case Study on Long Document Summarization
DecIF: Improving Instruction-Following through Meta-Decomposition
Void in Language Models
ProDS: Preference-oriented Data Selection for Instruction Tuning
Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges
Multi-Armed Bandits Meet Large Language Models
Neuro-Symbolic Query Compiler
Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs
GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs
PIPA: A Unified Evaluation Protocol for Diagnosing Interactive Planning Agents
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception
Deep Learning Characterizes Depression and Suicidal Ideation from Eye Movements
PICO: Secure Transformers via Robust Prompt Isolation and Cybersecurity Oversight
Auto-SLURP: A Benchmark Dataset for Evaluating Multi-Agent Frameworks in Smart Personal Assistant
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation
LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild
MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
The Quantum LLM: Modeling Semantic Spaces with Quantum Principles
SafeChat: A Framework for Building Trustworthy Collaborative Assistants and a Case Study of its Usefulness
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model
AGITB: A Signal-Level Benchmark for Evaluating Artificial General Intelligence
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