Papers
BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and Captioning
Aditya Hemant Shahane, Anuj Kumar Sirohi, Devansh Arora et al.
MUR: Momentum Uncertainty guided Reasoning for Large Language Models
Hang Yan, Fangzhi Xu, Rongman Xu et al.
FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean
Jordan Meadows, Lan Zhang, Andre Freitas
Make LLMs See Like Investigators, Not Just Think More: The Role of Structured Analysis in Investigative Reasoning
Jaewook Lee, Myeong-Cheol Kang, Jong-hun Shin
CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution
Shidong Yang, Ziyu Ma, Tongwen Huang et al.
DVCQR: Dual-View Conversational Query Rewriting with Stage-wise Reinforcement Learning
Chenyi Li, Xinhui Tu, Zaixiang Wang
MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits
Yixin Xiang, Yunshan Ma, Xiaoyu Du et al.
PROMPRINT: Prompt Fingerprinting via First-Token Response for LLM App Cloning Detection
Jungmin Lee, Peizhuo Lv, Yeonjoon Lee
Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions
Minda Zhao, Yilun Du, Mengyu Wang
CamoQuery: Language-Guided Reasoning Camouflaged Object Segmentation
Tianxin Han, Qing Dong, Xingwei Wang et al.
Nested Browser-Use Learning for Agentic Information Seeking
Baixuan Li, Jialong Wu, Wenbiao Yin et al.
The Proxy Presumption: From Semantic Embeddings to Valid Social Measures
Baishi Li, Ta Yu, Kelvin J.l. Koa et al.
Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models
Wei Wu, Liyi Chen, Congxi Xiao et al.
SADA: Bridging In-Context Learning and Fine-Tuning via State-Aligned Distillation Adapters
Wenhao Gao, Tianlong Wang, Wei Jia et al.
A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions
Zhiyin Yu, Yuchen Mou, Juncheng Yan et al.
See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action Designers
Ding Xia, Xinyue Gui, Mark Colley et al.
Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning
Rui Song, Lida Shi, Ruihua Qi et al.
Causal2Vec: Improving Decoder-only LLMs as Embedding Models through a Contextual Token
Ailiang Lin, Zhuoyun Li, Yusong Wang et al.
Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinese
Xing Yue, Yongliang Shen, Weiming Lu
Comparing human and language models sentence processing difficulties on complex structures
Samuel Joseph Amouyal, Aya Meltzer-Asscher, Jonathan Berant
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science
Wonduk Seo, Juhyeon Lee, Yanjun Shao et al.
Omni-Embed-Audio: Leveraging Multimodal LLMs for Robust Audio-Text Retrieval
HaeJun Yoo, Yongseop Shin, Insung Lee et al.
Comparative Analysis of the Intrinsic Metrics for Tokenizers and their effect on Downstream Tasks for Hindi and Marathi
Shagun Dwivedi, Kaushik Gopalan
LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points
Xuemiao Zhang, Can Ren, Chengying Tu et al.
InsLogicBench: An Argumentation Logic Grounded Benchmark for Complex Insurance Claims Adjudication
Jin Liu, Yunpeng Liu, Keyi Wang et al.