:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Afzal, Anum, Matthes, Florian, Chechik, Gal, Ziser, Yftah
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2505.24362
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FActBench: A Benchmark for Fine-grained Automatic Evaluation of LLM-Generated Text in the Medical Domain
by: Afzal, Anum, et al.
Published: (2025)

Aligning What LLMs Do and Say: Towards Self-Consistent Explanations
by: Admoni, Sahar, et al.
Published: (2025)

Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization
by: Afzal, Anum, et al.
Published: (2025)

JaccDiv: A Metric and Benchmark for Quantifying Diversity of Generated Marketing Text in the Music Industry
by: Afzal, Anum, et al.
Published: (2025)

More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search
by: Dalal, Gal, et al.
Published: (2026)

Policy Optimized Text-to-Image Pipeline Design
by: Gadot, Uri, et al.
Published: (2025)

AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization
by: Afzal, Anum, et al.
Published: (2024)

Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human in the Loop
by: Afzal, Anum, et al.
Published: (2024)

Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models
by: Zhao, Zheng, et al.
Published: (2024)

The Detection-Extraction Gap: Models Know the Answer Before They Can Say It
by: Wang, Hanyang, et al.
Published: (2026)

When Knowledge Is Not Free: Cost-Aware Evidence Selection in Retrieval-Augmented Generation
by: Wu, Mingyan, et al.
Published: (2026)

Chip-Tuning: Classify Before Language Models Say
by: Zhu, Fangwei, et al.
Published: (2024)

Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting
by: Zhu, Dong-Hai, et al.
Published: (2025)

SnapKV: LLM Knows What You are Looking for Before Generation
by: Li, Yuhong, et al.
Published: (2024)

LLMs Know More About Numbers than They Can Say
by: Yuchi, Fengting, et al.
Published: (2026)

Lost in Space? Vision-Language Models Struggle with Relative Camera Pose Estimation
by: Deng, Ken, et al.
Published: (2026)

Diffusion Language Models Know the Answer Before Decoding
by: Li, Pengxiang, et al.
Published: (2025)

Real-Time Generation of Game Video Commentary with Multimodal LLMs: Pause-Aware Decoding Approaches
by: Afzal, Anum, et al.
Published: (2026)

Iterative Multilingual Spectral Attribute Erasure
by: Shao, Shun, et al.
Published: (2025)

Bootstrapping Action-Grounded Visual Dynamics in Unified Vision-Language Models
by: Qiu, Yifu, et al.
Published: (2025)

Know You Before You Speak: User-State Modeling for LLM Personalization in Multi-Turn Conversation
by: Luo, Jiani, et al.
Published: (2026)

Spectral Editing of Activations for Large Language Model Alignment
by: Qiu, Yifu, et al.
Published: (2024)

LR-DWM: Efficient Watermarking for Diffusion Language Models
by: Raban, Ofek, et al.
Published: (2026)

LLM-as-a-Judge for Privacy Evaluation? Exploring the Alignment of Human and LLM Perceptions of Privacy in Textual Data
by: Meisenbacher, Stephen, et al.
Published: (2025)

CompressKV: Semantic Retrieval Heads Know What Tokens are Not Important Before Generation
by: Lin, Xiaolin, et al.
Published: (2025)

From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online Forums
by: Fono, Niv, et al.
Published: (2026)

Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
by: Bar-Shalom, Guy, et al.
Published: (2025)

Self-Improving World Modelling with Latent Actions
by: Qiu, Yifu, et al.
Published: (2026)

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
by: Du, Chengyu, et al.
Published: (2024)

Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge
by: Vladika, Juraj, et al.
Published: (2025)

Before and After Temperature: A Distributional View of Creative LLM Generation
by: Parupudi, V. S. Raghu, et al.
Published: (2026)

When Safety Fails Before the Answer: Benchmarking Harmful Behavior Detection in Reasoning Chains
by: Kakkar, Ishita, et al.
Published: (2026)

Look Before You Leap: Autonomous Exploration for LLM Agents
by: Ye, Ziang, et al.
Published: (2026)

It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension
by: Shaier, Sagi, et al.
Published: (2024)

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning
by: Song, Mingyang, et al.
Published: (2025)

Confidence Before Answering: A Paradigm Shift for Efficient LLM Uncertainty Estimation
by: Li, Changcheng, et al.
Published: (2026)

With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting
by: Meisenbacher, Stephen, et al.
Published: (2025)

Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text
by: Meisenbacher, Stephen, et al.
Published: (2024)

Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
by: Meisenbacher, Stephen, et al.
Published: (2024)

AGB-DE: A Corpus for the Automated Legal Assessment of Clauses in German Consumer Contracts
by: Braun, Daniel, et al.
Published: (2024)