Papers
From Phrases to Subgraphs: Fine-Grained Semantic Parsing for Knowledge Graph Question Answering
Yurun Song, Xiangqing Shen, Rui Xia
From RAG to Reality: Coarse-Grained Hallucination Detection via NLI Fine-Tuning
Daria Galimzianova, Aleksandr Boriskin, Grigory Arshinov
From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding
Chiwei Zhu, Benfeng Xu, Xiaorui Wang et al.
From Recall to Creation: Generating Follow-Up Questions Using Bloom’s Taxonomy and Grice’s Maxims
Archana Yadav, Harshvivek Kashid, Medchalimi Sruthi et al.
From Selection to Generation: A Survey of LLM-based Active Learning
Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie et al.
From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities
Shixin Jiang, Jiafeng Liang, Jiyuan Wang et al.
From Stories to Statistics: Methodological Biases in LLM-Based Narrative Flow Quantification
Amal Sunny, Advay Gupta, Yashashree Chandak et al.
From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MarkerGen
Peiwen Yuan, Chuyi Tan, Shaoxiong Feng et al.
From Syntax to Semantics: Evaluating the Impact of Linguistic Structures on LLM-Based Information Extraction
Anushka Swarup, Avanti Bhandarkar, Ronald Wilson et al.
From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions
Nathanaël Carraz Rakotonirina, Mohammed Hamdy, Jon Ander Campos et al.
From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models
Yidan Wang, Yubing Ren, Yanan Cao et al.
FrontierScience Bench: Evaluating AI Research Capabilities in LLMs
Matthew Li, Santiago Torres-Garcia, Shayan Halder et al.
FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling
Weilin Zhao, Tengyu Pan, Xu Han et al.
Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning
Huimin Xu, Xin Mao, Feng-Lin Li et al.
FunghiFunghi at SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
Tariq Ballout, Pieter Jansma, Nander Koops et al.
Fusing Highly Specialized Language Models for Comprehensive Expertise
Ning Ding, Yulin Chen, Ganqu Cui et al.
Fuzzy Speculative Decoding for a Tunable Accuracy-Runtime Tradeoff
Maximilian Holsman, Yukun Huang, Bhuwan Dhingra
G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models
Long Bai, Zixuan Li, Xiaolong Jin et al.
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis
Yi Jiang, Sendong Zhao, Jianbo Li et al.
GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
Ziyin Zhang, Hang Yu, Sage Lee et al.
GAMEBoT: Transparent Assessment of LLM Reasoning in Games
Wenye Lin, Jonathan Roberts, Yunhan Yang et al.
Game Development as Human-LLM Interaction
Jiale Hong, Hongqiu Wu, Hai Zhao
GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization
Zhouhong Gu, Xingzhou Chen, Xiaoran Shi et al.
GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation
Ionut Teodor Sorodoc, Leonardo F. R. Ribeiro, Rexhina Blloshmi et al.