2025 "large language models" Papers

Concept-Guided Interpretability via Neural Chunking

Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik et al.

Concept Incongruence: An Exploration of Time and Death in Role Playing

Xiaoyan Bai, Ike Peng, Aditya Singh et al.

Confidence Elicitation: A New Attack Vector for Large Language Models

Brian Formento, Chuan Sheng Foo, See-Kiong Ng

ConfTuner: Training Large Language Models to Express Their Confidence Verbally

Yibo Li, Miao Xiong, Jiaying Wu et al.

Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance

Sachin Goyal, Christina Baek, Zico Kolter et al.

ConTextTab: A Semantics-Aware Tabular In-Context Learner

Marco Spinaci, Marek Polewczyk, Maximilian Schambach et al.

CoP: Agentic Red-teaming for Large Language Models using Composition of Principles

Chen Xiong, Pin-Yu Chen, Tsung-Yi Ho

DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding

Yue Jiang, Jichu Li, Yang Liu et al.

DataGen: Unified Synthetic Dataset Generation via Large Language Models

Yue Huang, Siyuan Wu, Chujie Gao et al.

DataMan: Data Manager for Pre-training Large Language Models

Ru Peng, Kexin Yang, Yawen Zeng et al.

DataSIR: A Benchmark Dataset for Sensitive Information Recognition

Fan Mo, Bo Liu, Yuan Fan et al.

DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding

Henry Zheng, Hao Shi, Qihang Peng et al.

Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing

Yisong Xiao, Aishan Liu, Siyuan Liang et al.

DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models

Simone Carnemolla, Matteo Pennisi, Sarinda Samarasinghe et al.

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix

Ming Wen, Jiaqi Zhu, Yuedong Xu et al.

Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning

Xingjian Ran, Yixuan Li, Linning Xu et al.

DiscoveryBench: Towards Data-Driven Discovery with Large Language Models

Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal et al.

Distribution-Aligned Decoding for Efficient LLM Task Adaptation

Senkang Hu, Xudong Han, Jinqi Jiang et al.

DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models

Saeed Ranjbar Alvar, Gursimran Singh, Mohammad Akbari et al.

DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm

Xiaowei Zhu, Yubing Ren, Fang Fang et al.

Do as We Do, Not as You Think: the Conformity of Large Language Models

Zhiyuan Weng, Guikun Chen, Wenguan Wang

Do LLMs estimate uncertainty well in instruction-following?

Juyeon Heo, Miao Xiong, Christina Heinze-Deml et al.

Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness

Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu et al.

Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models

Zitong Shi, Guancheng Wan, Haixin Wang et al.

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data

Shlomi Hod, Lucas Rosenblatt, Julia Stoyanovich

DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering

Jiakai Li, Rongzheng Wang, Yizhuo Ma et al.

DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?

Liqiang Jing, Zhehui Huang, Xiaoyang Wang et al.

Durable Quantization Conditioned Misalignment Attack on Large Language Models

Peiran Dong, Haowei Li, Song Guo

DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning

Fucai Ke, Vijay Kumar b g, Xingjian Leng et al.

Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective

Ruichen Shao, Bei Li, Gangao Liu et al.

EFFICIENT JAILBREAK ATTACK SEQUENCES ON LARGE LANGUAGE MODELS VIA MULTI-ARMED BANDIT-BASED CONTEXT SWITCHING

Aditya Ramesh, Shivam Bhardwaj, Aditya Saibewar et al.

ELICIT: LLM Augmentation Via External In-context Capability

Futing Wang, Jianhao (Elliott) Yan, Yue Zhang et al.

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models

Rui Ye, Jingyi Chai, Xiangrui Liu et al.

Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward

Yanming Wan, Jiaxing Wu, Marwa Abdulhai et al.

Episodic Memories Generation and Evaluation Benchmark for Large Language Models

Alexis Huet, Zied Houidi, Dario Rossi

Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models

Jingcheng Deng, Zihao Wei, Liang Pang et al.

Exploring the limits of strong membership inference attacks on large language models

Jamie Hayes, I Shumailov, Christopher A. Choquette-Choo et al.

FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic

FFN Fusion: Rethinking Sequential Computation in Large Language Models

Akhiad Bercovich, Mohammed Dabbah, Omri Puny et al.

Fine-tuning can Help Detect Pretraining Data from Large Language Models

Hengxiang Zhang, Songxin Zhang, Bingyi Jing et al.

FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference

Xunhao Lai, Jianqiao Lu, Yao Luo et al.

ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities

Ezra Karger, Houtan Bastani, Chen Yueh-Han et al.

FP4 All the Way: Fully Quantized Training of Large Language Models

Brian Chmiel, Maxim Fishman, Ron Banner et al.

From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data

Zheyang Xiong, Vasilis Papageorgiou, Kangwook Lee et al.

From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries

Joy Hsu, Emily Jin, Jiajun Wu et al.

Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks

Zi Wang, Divyam Anshumaan, Ashish Hooda et al.

General Scene Adaptation for Vision-and-Language Navigation

Haodong Hong, Yanyuan Qiao, Sen Wang et al.

Generating Computational Cognitive models using Large Language Models

Milena Rmus, Akshay Kumar Jagadish, Marvin Mathony et al.

Generative Monoculture in Large Language Models

Fan Wu, Emily Black, Varun Chandrasekaran

Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions

Marc Brooks, Gabriel Durham, Kihyuk Hong et al.