Cover Image

Evaluate What You Can't Evaluate: Unassessable Quality for Generated Response

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yongkang, Feng, Shi, Wang, Daling, Zhang, Yifei, Schütze, Hinrich
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ChatZero:Zero-shot Cross-Lingual Dialogue Generation via Pseudo-Target Language
by: Liu, Yongkang, et al.
Published: (2024)

A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation
by: Liu, Yongkang, et al.
Published: (2024)

HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
by: Liu, Yongkang, et al.
Published: (2024)

SAD: A Large-Scale Strategic Argumentative Dialogue Dataset
by: Liu, Yongkang, et al.
Published: (2026)

PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs
by: Wang, Zijing, et al.
Published: (2026)

DiM\textsuperscript{3}: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging
by: Wang, Zijing, et al.
Published: (2026)

High-Rank Structured Modulation for Parameter-Efficient Fine-Tuning
by: Liu, Yongkang, et al.
Published: (2026)

MEKiT: Multi-source Heterogeneous Knowledge Injection Method via Instruction Tuning for Emotion-Cause Pair Extraction
by: Mu, Shiyi, et al.
Published: (2025)

SMoA: Spectrum Modulation Adapter for Parameter-Efficient Fine-Tuning
by: Liu, Yongkang, et al.
Published: (2026)

Left, Right, or Center? Evaluating LLM Framing in News Classification and Generation
by: Kennedy, Molly, et al.
Published: (2026)

Evaluating Contextually Mediated Factual Recall in Multilingual Large Language Models
by: Liu, Yihong, et al.
Published: (2026)

TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM
by: Cao, Huiying, et al.
Published: (2024)

ChunkFT: Byte-Streamed Optimization for Memory-Efficient Full Fine-Tuning
by: Liu, Yongkang, et al.
Published: (2026)

NEAT: Neuron-Based Early Exit for Large Reasoning Models
by: Liu, Kang, et al.
Published: (2026)

Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare Linguistic Phenomena
by: Weissweiler, Leonie, et al.
Published: (2024)

Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate
by: Zhang, Yiqun, et al.
Published: (2024)

RoCar: A Relationship Network-based Evaluation Method for Large Language Models
by: Wang, Ming, et al.
Published: (2023)

You Can't Fight in Here! This is BBS!
by: Futrell, Richard, et al.
Published: (2026)

Pixel-Level Reasoning Segmentation via Multi-turn Conversations
by: Cai, Dexian, et al.
Published: (2025)

MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment Analysis
by: Xu, Xingle, et al.
Published: (2025)

A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages
by: Zhao, Raoyuan, et al.
Published: (2025)

STICKERCONV: Generating Multimodal Empathetic Responses from Scratch
by: Zhang, Yiqun, et al.
Published: (2024)

GKnow: Measuring the Entanglement of Gender Bias and Factual Gender
by: Veloso, Leonor, et al.
Published: (2026)

Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors
by: Zhao, Raoyuan, et al.
Published: (2025)

Calibration Is Not Enough: Evaluating Confidence Estimation Under Language Variations
by: Xia, Yuxi, et al.
Published: (2026)

What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects
by: Blaschke, Verena, et al.
Published: (2024)

Generative Emotion Cause Explanation in Multimodal Conversations
by: Wang, Lin, et al.
Published: (2024)

Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering
by: Zhang, Xiaoming, et al.
Published: (2024)

Why Better Cross-Lingual Alignment Fails for Better Cross-Lingual Transfer: Case of Encoders
by: Veitsman, Yana, et al.
Published: (2026)

Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment
by: Xhelili, Orgest, et al.
Published: (2024)

GLUScope: A Tool for Analyzing GLU Neurons in Transformer Language Models
by: Gerstner, Sebastian, et al.
Published: (2026)

Understanding Gated Neurons in Transformers from Their Input-Output Functionality
by: Gerstner, Sebastian, et al.
Published: (2025)

The Anatomy of an Edit: Mechanism-Guided Activation Steering for Knowledge Editing
by: Cao, Yuan, et al.
Published: (2026)

Verbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMs
by: Mortensen, David R., et al.
Published: (2024)

AbsenceBench: Language Models Can't Tell What's Missing
by: Fu, Harvey Yiyun, et al.
Published: (2025)

GRASP: Grounded CoT Reasoning with Dual-Stage Optimization for Multimodal Sarcasm Target Identification
by: Wan, Faxian, et al.
Published: (2026)

OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining
by: Liu, Yihong, et al.
Published: (2023)

On the Entity-Level Alignment in Crosslingual Consistency
by: Liu, Yihong, et al.
Published: (2025)

Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding
by: Feng, Qi, et al.
Published: (2025)

Relational Linearity is a Predictor of Hallucinations
by: Lu, Yuetian, et al.
Published: (2026)