SOTAVerified

Response Generation

A task where an agent should play the $DE$ role and generate a text to respond to a $P$ message.

Papers

Showing 125 of 914 papers

TitleStatusHype
Disambiguation-Centric Finetuning Makes Enterprise Tool-Calling LLMs More Realistic and Less Risky0
Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems0
SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification0
From What to Respond to When to Respond: Timely Response Generation for Open-domain Dialogue AgentsCode0
Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation0
CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-TrainingCode0
AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders0
OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions0
Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning0
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps0
DecoupledESC: Enhancing Emotional Support Generation via Strategy-Response Decoupled Preference Optimization0
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement LearningCode1
Hallucinate at the Last in Long Response Generation: A Case Study on Long Document Summarization0
Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge GraphsCode1
DecIF: Improving Instruction-Following through Meta-Decomposition0
Void in Language ModelsCode0
Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges0
ProDS: Preference-oriented Data Selection for Instruction Tuning0
Multi-Armed Bandits Meet Large Language Models0
Neuro-Symbolic Query CompilerCode1
GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs0
Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge GraphCode0
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs0
PIPA: A Unified Evaluation Protocol for Diagnosing Interactive Planning Agents0
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object PerceptionCode1
Show:102550
← PrevPage 1 of 37Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaCEBLEU34.1Unverified
2BART-largeBLEU33.1Unverified
3BART-baseBLEU29.4Unverified
4MTNBLEU21.7Unverified
5GPT-2BLEU19.2Unverified
#ModelMetricClaimedVerifiedStatus
1LED(Q,F)Message-F119.54Unverified
2LED(Q,P,H)Message-F116.14Unverified
3LED(Q,P)Message-F114.25Unverified
#ModelMetricClaimedVerifiedStatus
1PaCEBLEU22Unverified
2SimpleTODBLEU20.3Unverified