Papers
A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Case Study of Supplementary Adverbs
Zhu Liu, Cunliang Kong, Ying Liu et al.
Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations
Tung Nguyen, Tue Le, Hoang Tran Vuong et al.
SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model
Jiayang Yu, Yihang Zhang, Bin Wang et al.
AID: Adaptive Integration of Detectors for Safe AI with Language Models
Xinran Wang, Enmao Diao, Qi Le et al.
FLEX: Expert-level False-Less EXecution Metric for Text-to-SQL Benchmark
Heegyu Kim, Jeon Taeyang, SeungHwan Choi et al.
Transferable Post-training via Inverse Value Learning
Xinyu Lu, Xueru Wen, Yaojie Lu et al.
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs
Jiancheng Dong, Lei Jiang, Wei Jin et al.
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product
Pengxiang Lan, Haoyu Xu, Enneng Yang et al.
Stronger Models are Not Always Stronger Teachers for Instruction Tuning
Zhangchen Xu, Fengqing Jiang, Luyao Niu et al.
Harnessing and Evaluating the Intrinsic Extrapolation Ability of Large Language Models for Vehicle Trajectory Prediction
Jiawei Liu, Yanjiao Liu, Xun Gong et al.
See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias
Junehyoung Kwon, MiHyeon Kim, Eunju Lee et al.
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
Muzhi Li, Cehao Yang, Chengjin Xu et al.
Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5
Arkadeep Acharya, Rudra Murthy, Vishwajeet Kumar et al.
Efficient Prompting for Continual Adaptation to Missing Modalities
Zirun Guo, Shulei Wang, Wang Lin et al.
AudioBench: A Universal Benchmark for Audio Large Language Models
Bin Wang, Xunlong Zou, Geyu Lin et al.
SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression
Xin Wang, Samiul Alam, Zhongwei Wan et al.
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
Yu Xia, Junda Wu, Sungchul Kim et al.
Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective
Yuqing Zhou, Ziwei Zhu
ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis
Zezhong Wang, Xingshan Zeng, Weiwen Liu et al.
PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines
Reya Vir, Shreya Shankar, Harrison Chase et al.
CVE-Bench: Benchmarking LLM-based Software Engineering Agent’s Ability to Repair Real-World CVE Vulnerabilities
Peiran Wang, Xiaogeng Liu, Chaowei Xiao
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
Yifan Song, Guoyin Wang, Sujian Li et al.
Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack
Cheng Wang, Yiwei Wang, Yujun Cai et al.
WaterPool: A Language Model Watermark Mitigating Trade-Offs among Imperceptibility, Efficacy and Robustness
Baizhou Huang, Xiaojun Wan
LLM4DistReconfig: A Fine-tuned Large Language Model for Power Distribution Network Reconfiguration
Panayiotis Christou, Md. Zahidul Islam, Yuzhang Lin et al.