:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Li, Jiang, Hao, Li, Junjie, Zhao, Zefeng, Jiang, Feng, Chen, Wenyu, Li, Haizhou
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2506.21682
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MLPs Compass: What is learned when MLPs are combined with PLMs?
by: Zhou, Li, et al.
Published: (2024)

EmoShift: Lightweight Activation Steering for Enhanced Emotion-Aware Speech Synthesis
by: Zhou, Li, et al.
Published: (2026)

EchoMind: An Interrelated Multi-level Benchmark for Evaluating Empathetic Speech Language Models
by: Zhou, Li, et al.
Published: (2025)

Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models
by: Liu, Zikang, et al.
Published: (2025)

Know You First and Be You Better: Modeling Human-Like User Simulators via Implicit Profiles
by: Wang, Kuang, et al.
Published: (2025)

Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models
by: Liu, Ziche, et al.
Published: (2024)

Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?
by: Wang, Yanbo, et al.
Published: (2025)

Is ChatGPT Involved in Texts? Measure the Polish Ratio to Detect ChatGPT-Generated Text
by: Yang, Lingyi, et al.
Published: (2023)

Bridging Research and Readers: A Multi-Modal Automated Academic Papers Interpretation System
by: Jiang, Feng, et al.
Published: (2024)

Aligning Language Models Using Follow-up Likelihood as Reward Signal
by: Zhang, Chen, et al.
Published: (2024)

Quantifying Self-diagnostic Atomic Knowledge in Chinese Medical Foundation Model: A Computational Analysis
by: Fan, Yaxin, et al.
Published: (2023)

Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement
by: Cheng, Zihao, et al.
Published: (2024)

TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models
by: Zhang, Chen, et al.
Published: (2024)

Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Study
by: Fan, Yaxin, et al.
Published: (2023)

Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models
by: Xiang, Bajian, et al.
Published: (2026)

Discourse-Aware Dual-Track Streaming Response for Low-Latency Spoken Dialogue Systems
by: Liu, Siyuan, et al.
Published: (2026)

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
by: Zhang, Caiqi, et al.
Published: (2024)

Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and Benchmark
by: Jiang, Feng, et al.
Published: (2023)

Do We Really Need External Tools to Mitigate Hallucinations? SIRA: Shared-Prefix Internal Reconstruction of Attribution
by: Qin, Tian, et al.
Published: (2026)

Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
by: Attimonelli, Matteo, et al.
Published: (2025)

Large Language Models Penetration in Scholarly Writing and Peer Review
by: Zhou, Li, et al.
Published: (2025)

KDCM: Reducing Hallucination in LLMs through Explicit Reasoning Structures
by: Hao, Jinbo, et al.
Published: (2026)

Do Vision-Language Models Really Understand Visual Language?
by: Hou, Yifan, et al.
Published: (2024)

Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
by: Lu, Yi-Long, et al.
Published: (2025)

What Do Indonesians Really Need from Language Technology? A Nationwide Survey
by: Kautsar, Muhammad Dehan Al, et al.
Published: (2025)

Do Large Language Models Need a Content Delivery Network?
by: Cheng, Yihua, et al.
Published: (2024)

Do as We Do, Not as You Think: the Conformity of Large Language Models
by: Weng, Zhiyuan, et al.
Published: (2025)

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
by: Tang, Xiangru, et al.
Published: (2023)

Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?
by: Zhu, Dawei, et al.
Published: (2024)

Do MLLMs Really Understand the Charts?
by: Zhang, Xiao, et al.
Published: (2025)

CellVerse: Do Large Language Models Really Understand Cell Biology?
by: Zhang, Fan, et al.
Published: (2025)

How Well Do LLMs Identify Cultural Unity in Diversity?
by: Li, Jialin, et al.
Published: (2024)

Is the System Message Really Important to Jailbreaks in Large Language Models?
by: Zou, Xiaotian, et al.
Published: (2024)

Mitigating Prompt-Induced Hallucinations in Large Language Models via Structured Reasoning
by: Hao, Jinbo, et al.
Published: (2026)

Do We Need a Detailed Rubric for Automated Essay Scoring using Large Language Models?
by: Yoshida, Lui
Published: (2025)

FluentEditor2: Text-based Speech Editing by Modeling Multi-Scale Acoustic and Prosody Consistency
by: Liu, Rui, et al.
Published: (2024)

Large Language Models Assume People are More Rational than We Really are
by: Liu, Ryan, et al.
Published: (2024)

Do We Need Domain-Specific Embedding Models? An Empirical Investigation
by: Tang, Yixuan, et al.
Published: (2024)

Do We Need Frontier Models to Verify Mathematical Proofs?
by: Naik, Aaditya, et al.
Published: (2026)

What Really Controls Temporal Reasoning in Large Language Models: Tokenisation or Representation of Time?
by: Bhatia, Gagan, et al.
Published: (2026)