Key papers

• Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models (2025)
  Linlu Qiu et al.
  8.43
• Personalized LLM Decoding via Contrasting Personal Preference (2025)
  Hyungjune Bu et al.
  6.58
• When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning (2025)
  Yijiang River Dong et al.
  6.12
• QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards (2026)
  Rongzhi Zhang et al.
  5.84
• A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing (2026)
  Jared Moore et al.
  5.84
• ExPerT: Personalizing LLM Responses to Users' Domain Expertise via Query-Wise Semantic and Keystroke Behavioral Cues (2026)
  Yeji Park et al.
  5.01
• Office Comprehension Benchmark (2026)
  Firoz Shaik et al.
  5.01
• Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts (2026)
  Valentin J. J. Kreileder et al.
  5.01
• UCSC NLP at SemEval-2026 Task 10: Boundary-Aware Span Extraction and RoBERTa Classification for Conspiracy Detection (2026)
  Dom Marhoefer et al.
  5.01
• AutoIndex: Learning Representation Programs for Retrieval (2026)
  Sam O'Nuallain et al.
  5.01
• PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID (2026)
  Xiao Wang et al.
  5.01
• Multi-Granularity Reasoning for Natural Language Inference (2026)
  Chunling Xi et al.
  4.95
• When Evidence is Sparse: Weakly Supervised Early Failure Alerting in Dialogs and LLM-Agent Trajectories (2026)
  Avinash Baidya et al.
  4.95
• Executable Schema Contracts: From Automatic Ingestion to Multi-Source Retrieval (2026)
  Padmaja Jonnalagedda et al.
  4.95
• Multilingual Coreference Resolution via Cycle-Consistent Machine Translation (2026)
  Adriana-Valentina Costache et al.
  4.95
• Measuring the sensitivity of LLM-based structured extraction to prompt, model, and schema choices in clinical discharge summaries (2026)
  Martin Murin
  4.95
• LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents (2026)
  Aofan Yu et al.
  4.95
• Harnessing Structural Context for Entity Alignment Foundation Models (2026)
  Xingyu Chen et al.
  4.95
• Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search (2025)
  Matteo Attimonelli et al.
  4.53
• Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory (2026)
  ZhiShu Jiang et al.
  4.39
• HNSW with Accuracy Guarantees Using Graph Spanners -- A Technical Report (2026)
  Minghao Li et al.
  4.39
• RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency (2026)
  Dan Musetoiu
  4.39
• Bridging Auxiliary Constraints to Resolve Instruction Following in Large Reasoning Models (2026)
  Zhengyi Zhao et al.
  4.33
• Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models (2026)
  Qi Cao et al.
  4.33
• Efficient ASR Training with Conversations that Never Happened (2026)
  M\'at\'e Gedeon et al.
  4.33
• Stability vs. Manipulability: Evaluating Robustness Under Post-Decision Interaction in LLM Judges (2026)
  Srimonti Dutta et al.
  4.33
• Harnessing Generalist Agents for Contextualized Time Series (2026)
  Zihao Li et al.
  4.33
• The Self-Correction Illusion: LLMs Correct Others but Not Themselves (2026)
  Kuan-Yen Chen et al.
  4.33
• Framing, Judging, Steering: An Assessable Competency Model for Teach-ing Students to Reason With Generative AI (2026)
  Alexander Apartsin et al.
  4.33
• Using AI Agents to Automate Black-Box Audits of Personalization Algorithms at Scale (2026)
  Alessandro Morosini et al.
  4.33
• Exploring the relationship between team institutional composition and novelty in academic papers based on fine-grained knowledge entities (2026)
  Ziling Chen et al.
  4.33
• Building a Multimodal Dataset of Academic Paper for Keyword Extraction (2026)
  Jingyu Zhang et al.
  4.33
• Usage frequency and application variety of research methods in library and information science: Continuous investigation from 1991 to 2021 (2026)
  Chengzhi Zhang et al.
  4.33
• Real-World Evaluation of an AI Agent Drafting Translational Impact Summaries (2026)
  Mohammad Arvan et al.
  3.51
• Fenced Citation-Context Retrieval for Case Law: Temporal Leakage and Degree Control Across Two Jurisdictions (2026)
  Yao Liu et al.
  3.51
• FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering (2026)
  Jijun Chi et al.
  3.51
• AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System (2026)
  Shubham Kumar Nigam et al.
  3.51
• AutoJourn: Multi-Perspective Summarisation, Bias Detection and Bias Neutralisation for LLM-Generated News in Automated Journalism (2026)
  Himel Ghosh et al.
  3.51
• Solipsistic Superintelligence is Unlikely to be Cooperative (2026)
  Rakshit S Trivedi et al.
  3.45
• Neuron Populations Exhibit Divergent Selectivity with Scale (2026)
  Amil Dravid et al.
  3.45
• Information Terra: A Narrative-Anchored Semantic-First Projection of Document Embeddings (2026)
  Brian Keith-Norambuena et al.
  3.45
• ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping (2026)
  Jiacheng Chen et al.
  3.45
• News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation (2024)
  Andreea Iana et al.
  2.26
• Benchmarking Multimodal Large Language Models for Scientific Visualization Literacy (2026)
  Patrick Phuoc Do et al.
  2.00
• Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews (2026)
  Weixin Liang et al.
  1.94
• Entry-level guide to the use of large language models for medical research (2026)
  Qiao Jin et al.
  1.94
• mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health (2026)
  Yi Ren
  1.94
• Reasoning-Based Personalized Generation for Users with Sparse Data (2026)
  Bo Ni et al.
  1.72
• ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability (2025)
  Wenhan Liu et al.
  1.39
• Adaptive Personalized Conversational Information Retrieval (2025)
  Fengran Mo et al.
  1.39
• Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data (2025)
  Lalitesh Morishetti et al.
  1.39
• Improving the Performance of Sequential Recommendation Systems with an Extended Large Language Model (2025)
  Sinnyum Choi et al.
  1.33
• FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement (2024)
  Liam Hebert et al.
  0.83
• MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation (2024)
  Ching-Wen Yang et al.
  0.78
• Automatic Generation of Natural Language Explanations (2017)
  Felipe Costa et al.
  —
• Content Based Document Recommender using Deep Learning (2017)
  Nishant Nikhil et al.
  —
• LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text (2018)
  Guangneng Hu et al.
  —
• An Ontology-Based Recommender System with an Application to the Star Trek Television Franchise (2018)
  Paul Sheridan et al.
  —
• Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models (2020)
  Pierangelo Lombardo et al.
  —
• User-Inspired Posterior Network for Recommendation Reason Generation (2021)
  Haolan Zhan et al.
  —