Saved in:
| Main Authors: | Zeng, Xinyue, Lin, Junhong, Yan, Yujun, Guo, Feng, Shi, Liang, Wu, Jun, Zhou, Dawei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.18753 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation
by: Bergeron, Loris, et al.
Published: (2025)
by: Bergeron, Loris, et al.
Published: (2025)
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
by: Zeng, Xinyue, et al.
Published: (2025)
by: Zeng, Xinyue, et al.
Published: (2025)
LLMs are Single-threaded Reasoners: Demystifying the Working Mechanism of Soft Thinking
by: Wu, Junhong, et al.
Published: (2025)
by: Wu, Junhong, et al.
Published: (2025)
DSC2025 -- ViHallu Challenge: Detecting Hallucination in Vietnamese LLMs
by: Nguyen, Anh Thi-Hoang, et al.
Published: (2026)
by: Nguyen, Anh Thi-Hoang, et al.
Published: (2026)
HalluLens: LLM Hallucination Benchmark
by: Bang, Yejin, et al.
Published: (2025)
by: Bang, Yejin, et al.
Published: (2025)
HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI Agents
by: Jin, Chao, et al.
Published: (2026)
by: Jin, Chao, et al.
Published: (2026)
HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs
by: Dasgupta, Sharanya, et al.
Published: (2025)
by: Dasgupta, Sharanya, et al.
Published: (2025)
MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training
by: You, Xinxin, et al.
Published: (2025)
by: You, Xinxin, et al.
Published: (2025)
HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation
by: Tantithamthavorn, Kla, et al.
Published: (2026)
by: Tantithamthavorn, Kla, et al.
Published: (2026)
HalluHard: A Hard Multi-Turn Hallucination Benchmark
by: Fan, Dongyang, et al.
Published: (2026)
by: Fan, Dongyang, et al.
Published: (2026)
HalluSAE: Detecting Hallucinations in Large Language Models via Sparse Auto-Encoders
by: Chen, Boshui, et al.
Published: (2026)
by: Chen, Boshui, et al.
Published: (2026)
HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models
by: Liu, Emmy, et al.
Published: (2026)
by: Liu, Emmy, et al.
Published: (2026)
Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting
by: Kossaifi, Jean, et al.
Published: (2026)
by: Kossaifi, Jean, et al.
Published: (2026)
HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling
by: Vu, Minh, et al.
Published: (2025)
by: Vu, Minh, et al.
Published: (2025)
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora
by: Pan, Chenkai, et al.
Published: (2026)
by: Pan, Chenkai, et al.
Published: (2026)
ChainMPQ: Interleaved Text-Image Reasoning Chains for Mitigating Relation Hallucinations
by: Wu, Yike, et al.
Published: (2025)
by: Wu, Yike, et al.
Published: (2025)
HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences
by: Sakai, Yusuke, et al.
Published: (2026)
by: Sakai, Yusuke, et al.
Published: (2026)
HalluVerse25: Fine-grained Multilingual Benchmark Dataset for LLM Hallucinations
by: Abdaljalil, Samir, et al.
Published: (2025)
by: Abdaljalil, Samir, et al.
Published: (2025)
HalluGen: Synthesizing Realistic and Controllable Hallucinations for Evaluating Image Restoration
by: Kim, Seunghoi, et al.
Published: (2025)
by: Kim, Seunghoi, et al.
Published: (2025)
HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models
by: Zhao, Feiyu, et al.
Published: (2026)
by: Zhao, Feiyu, et al.
Published: (2026)
Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
by: Wang, Haozhe, et al.
Published: (2025)
by: Wang, Haozhe, et al.
Published: (2025)
HalluRNN: Mitigating Hallucinations via Recurrent Cross-Layer Reasoning in Large Vision-Language Models
by: Yu, Le, et al.
Published: (2025)
by: Yu, Le, et al.
Published: (2025)
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection
by: Emery, Deanna, et al.
Published: (2025)
by: Emery, Deanna, et al.
Published: (2025)
AIRGuard: Guarding Agent Actions with Runtime Authority Control
by: Qin, Suliu, et al.
Published: (2026)
by: Qin, Suliu, et al.
Published: (2026)
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
by: Pandit, Shrey, et al.
Published: (2025)
by: Pandit, Shrey, et al.
Published: (2025)
Demystifying Video Reasoning
by: Wang, Ruisi, et al.
Published: (2026)
by: Wang, Ruisi, et al.
Published: (2026)
Learning to Hand Off: Provably Convergent Workflow Learning under Interface Constraints
by: Li, Jiayu, et al.
Published: (2026)
by: Li, Jiayu, et al.
Published: (2026)
Language Imbalance Driven Rewarding for Multilingual Self-improving
by: Yang, Wen, et al.
Published: (2024)
by: Yang, Wen, et al.
Published: (2024)
EH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow
by: Pan, Xiaoyu, et al.
Published: (2025)
by: Pan, Xiaoyu, et al.
Published: (2025)
StreamLink: Large-Language-Model Driven Distributed Data Engineering System
by: Feng, Dawei, et al.
Published: (2025)
by: Feng, Dawei, et al.
Published: (2025)
Distorted or Fabricated? A Survey on Hallucination in Video LLMs
by: Huang, Yiyang, et al.
Published: (2026)
by: Huang, Yiyang, et al.
Published: (2026)
BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali
by: Adib, Shefayat E Shams, et al.
Published: (2026)
by: Adib, Shefayat E Shams, et al.
Published: (2026)
GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance
by: Shi, Jinquan, et al.
Published: (2025)
by: Shi, Jinquan, et al.
Published: (2025)
HalluGraph: Auditable Hallucination Detection for Legal RAG Systems via Knowledge Graph Alignment
by: Noël, Valentin, et al.
Published: (2025)
by: Noël, Valentin, et al.
Published: (2025)
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
by: Qu, Changle, et al.
Published: (2024)
by: Qu, Changle, et al.
Published: (2024)
HalluSearch at SemEval-2025 Task 3: A Search-Enhanced RAG Pipeline for Hallucination Detection
by: Abdallah, Mohamed A., et al.
Published: (2025)
by: Abdallah, Mohamed A., et al.
Published: (2025)
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities
by: Mao, Yujun, et al.
Published: (2024)
by: Mao, Yujun, et al.
Published: (2024)
Evidence-Driven Reasoning for Industrial Maintenance Using Heterogeneous Data
by: O'Donncha, Fearghal, et al.
Published: (2026)
by: O'Donncha, Fearghal, et al.
Published: (2026)
Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
by: Liang, Zhenwen, et al.
Published: (2025)
by: Liang, Zhenwen, et al.
Published: (2025)
HalluMat: Detecting Hallucinations in LLM-Generated Materials Science Content Through Multi-Stage Verification
by: Vangala, Bhanu Prakash, et al.
Published: (2025)
by: Vangala, Bhanu Prakash, et al.
Published: (2025)
Similar Items
-
HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation
by: Bergeron, Loris, et al.
Published: (2025) -
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
by: Zeng, Xinyue, et al.
Published: (2025) -
LLMs are Single-threaded Reasoners: Demystifying the Working Mechanism of Soft Thinking
by: Wu, Junhong, et al.
Published: (2025) -
DSC2025 -- ViHallu Challenge: Detecting Hallucination in Vietnamese LLMs
by: Nguyen, Anh Thi-Hoang, et al.
Published: (2026) -
HalluLens: LLM Hallucination Benchmark
by: Bang, Yejin, et al.
Published: (2025)