Papers
3,164 papers found
Investigating Feasibility of Large Language Model Agent Collaboration in Minecraft and Comparison with Human-Human Collaboration
Yuki Hirota, Ryuichiro Higashinaka
Investigating Omission as a Latency Reduction Strategy in Simultaneous Speech Translation
Mana Makinae, Yusuke Sakai, Hidetaka Kamigaito et al.
Investigating Training and Generalization in Faithful Self-Explanations of Large Language Models
Tomoki Doi, Masaru Isonuma, Hitomi Yanaka
Is Fine-Tuning an Effective Solution? Reassessing Knowledge Editing for Unstructured Data
Hao Xiong, Chuanyuan Tan, Wenliang Chen
Isolating Culture Neurons in Multilingual Large Language Models
Danial Namazifard, Lukas Galke Poech
Is OpenVLA Truly Robust? A Systematic Evaluation of Positional Robustness
Yiran Pang, Yiheng Zhao, Zhuopu Zhou et al.
Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning
Li Yang, Anushya Subbiah, Hardik Patel et al.
Iterative Critique-Driven Simplification: Targeted Enhancement of Complex Definitions with Small Language Models
Veer Chheda, Avantika Sankhe, Aaditya Uday Ghaisas
Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge
Lin Shi, Chiyu Ma, Wenhua Liang et al.
LangCompress: Language-Aware Compression of Large Language Models
Dieu-Hien Nguyen, Nguyen-Khang Le, Truong Dinh Do et al.
Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation
Daniil Gurgurov, Katharina Trinley, Yusser Al Ghussin et al.
Language Confusion and Multilingual Performance: A Case Study of Thai-Adapted Large Language Models
Pakhapoom Sarapat, Trapoom Ukarapol, Tatsunori Hashimoto
Large Language Models Encode Semantics and Alignment in Linearly Separable Representations
Baturay Saglam, Paul Kassianik, Blaine Nelson et al.
Large Language Models Exhibit Limited Reasoning Ability on Coding Problems
Jinyoung Jo, Jonah Engelmann, Sean Choi
Large Temporal Models: Unlocking Temporal Understanding in LLMs for Temporal Relation Classification
Omri Homburger, Kfir Bar
Learning a Continue-Thinking Token for Enhanced Test-Time Scaling
Liran Ringel, Elad Tolochinsky, Yaniv Romano
Learning Dynamics of Meta-Learning in Small Model Pretraining
David Demitri Africa, Yuval Weiss, Paula Buttery et al.
Learning from Hallucinations: Mitigating Hallucinations in LLMs via Internal Representation Intervention
Sora Kadotani, Kosuke Nishida, Kyosuke Nishida
Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies
Jonathan Kamp, Lisa Beinborn, Antske Fokkens
LeCNet: A Legal Citation Network Benchmark Dataset
Pooja Harde, Bhavya Jain, Sarika Jain
Legal Document Summarization: A Zero-shot Modular Agentic Workflow Approach
Taha Sadikot, Sarika Jain
Leveraging NTPs for Efficient Hallucination Detection in VLMs
Ofir Azachi, Kfir Eliyahu, Eyal El Ani et al.
LiteLMGuard: Seamless and Lightweight On-Device Guardrails for Small Language Models against Quantization Vulnerabilities
Kalyan Nakka, Jimmy Dani, Ausmit Mondal et al.