SOTAVerified

Response Generation

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 914 papers

TitleStatusHype
A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems—0
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language ModelsCode0
Multi-party Response Generation with Relation Disentanglement—0
Parameter Efficient Reinforcement Learning from Human Feedback—0
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?Code1
Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking—0
Thread Detection and Response Generation using Transformers with Prompt Optimisation—0
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answeringCode0
A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue GenerationCode0
Ever-Evolving Memory by Blending and Refining the Past—0
Self-Consistent Decoding for More Factual Open ResponsesCode0
Open Assistant Toolkit -- version 2Code1
An Iterative Associative Memory Model for Empathetic Response GenerationCode1
Self-Refinement of Language Models from External Proxy Metrics Feedback—0
Exploiting Emotion-Semantic Correlations for Empathetic Response GenerationCode0
CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language ModelsCode1
How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queriesCode0
RecMind: Japanese Movie Recommendation Dialogue with Seeker's Internal State—0
Acknowledgment of Emotional States: Generating Validating Responses for Empathetic Dialogue—0
OLViT: Multi-Modal State Tracking via Attention-Based Embeddings for Video-Grounded Dialog—0
FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation—0
Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term ConversationsCode1
Metacognitive Retrieval-Augmented Large Language ModelsCode1
Large Language Models as Zero-shot Dialogue State Tracker through Function CallingCode2
TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles—0
Show:102550
← PrevPage 10 of 37Next →
All datasetsSIMMC2.0ArgSciChatMMConv

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaCEBLEU34.1—Unverified
2BART-largeBLEU33.1—Unverified
3BART-baseBLEU29.4—Unverified
4MTNBLEU21.7—Unverified
5GPT-2BLEU19.2—Unverified
#ModelMetricClaimedVerifiedStatus
1LED(Q,F)Message-F119.54—Unverified
2LED(Q,P,H)Message-F116.14—Unverified
3LED(Q,P)Message-F114.25—Unverified
#ModelMetricClaimedVerifiedStatus
1PaCEBLEU22—Unverified
2SimpleTODBLEU20.3—Unverified