Key papers

• Capital Markets LLM Reliability Score (CM-LRS): From Plausible to Bankable (2026)
  Prerit Ahuja
  5.01
• DataPrep-Bench: Benchmarking LLMs as Training Data Preparators (2026)
  Hao Liang et al.
  4.39
• Beyond Ideal Instruction: A Comprehensive Framework for Evaluating LLMs in Realistic Interactions (2026)
  Xuan Yang et al.
  4.33
• WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging (2025)
  Ahmed Elhady et al.
  2.87
• Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE (2026)
  Haozhan Tang et al.
  2.00
• NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions (2026)
  Shizheng Hou et al.
  1.83
• Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"? (2026)
  Germ\'an T. Eizaguirre et al.
  1.72
• LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing (2026)
  Hao Li et al.
  1.67
• BenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark Curation (2025)
  Fabian Wenz and Omar Bouattour and Devin Yang and Justin Choi and Cecil Gregg and Nesime Tatbul and \c{C}a\u{g}atay Demiralp
  1.50
• Benchmarking Optimizers for Large Language Model Pretraining (2025)
  Andrei Semenov et al.
  1.44
• Can LLMs Solve ASP Problems? Insights from a Benchmarking Study (Extended Version) (2025)
  Lin Ren et al.
  1.33
• BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation (2025)
  Eunsu Kim et al.
  1.28
• Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources (2025)
  Jinpyo Kim et al.
  1.28
• API Agents vs. GUI Agents: Divergence and Convergence (2025)
  Chaoyun Zhang et al.
  1.28
• LLPut: Investigating Large Language Models for Bug Report-Based Input Generation (2025)
  Alif Al Hasan et al.
  1.28
• Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning (2025)
  Junhong Lin et al.
  1.28
• RExBench: Can coding agents autonomously implement AI research extensions? (2025)
  Nicholas Edwards et al.
  1.28
• T2R-bench: A Benchmark for Generating Article-Level Reports from Real World Industrial Tables (2025)
  Jie Zhang et al.
  1.28
• ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web Coding (2025)
  Yuhang Li et al.
  1.28
• Skywork Open Reasoner 1 Technical Report (2025)
  Jujie He et al.
  1.22
• Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents (2025)
  Dongjun Lee et al.
  1.11
• FinerWeb-10BT: Refining Web Data with LLM-Based Line-Level Filtering (2025)
  Erik Henriksson et al.
  1.00
• CPM: A Large-scale Generative Chinese Pre-trained Language Model (2020)
  Zhengyan Zhang et al.
  —
• G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment (2023)
  Yang Liu et al.
  —
• PiML Toolbox for Interpretable Machine Learning Model Development and Diagnostics (2023)
  Agus Sudjianto et al.
  —
• Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering (2023)
  Fangkai Yang et al.
  —
• GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction (2023)
  Rui Yang et al.
  —
• LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking (2023)
  Fahim Dalvi et al.
  —
• AutoML-GPT: Large Language Model for AutoML (2023)
  Yun-Da Tsai et al.
  —
• LLM360: Towards Fully Transparent Open-Source LLMs (2023)
  Zhengzhong Liu et al.
  —
• Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions (2024)
  Kexun Zhang et al.
  —
• JetMoE: Reaching Llama2 Performance with 0.1M Dollars (2024)
  Yikang Shen et al.
  —
• StatBot.Swiss: Bilingual Open Data Exploration in Natural Language (2024)
  Farhad Nooralahzadeh et al.
  —
• The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale (2024)
  Guilherme Penedo et al.
  —
• YuLan: An Open-source Large Language Model (2024)
  Yutao Zhu et al.
  —
• Developing a Tutoring Dialog Dataset to Optimize LLMs for Educational Use (2024)
  Menna Fateen et al.
  —
• WEPO: Web Element Preference Optimization for LLM-based Web Navigation (2024)
  Jiarun Liu et al.
  —
• Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types (2024)
  Ziming Guo et al.
  —
• Mind2Web: Towards a Generalist Agent for the Web (2023)
  Xiang Deng et al.
  —
• TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT (2023)
  Liangyu Zha et al.
  —
• H2O Open Ecosystem for State-of-the-art Large Language Models (2023)
  Arno Candel et al.
  —
• WebLINX: Real-World Website Navigation with Multi-Turn Dialogue (2024)
  Xing Han Lù et al.
  —
• Xwin-LM: Strong and Scalable Alignment Practice for LLMs (2024)
  Bolin Ni et al.
  —
• Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models (2024)
  Wenhao Shi et al.
  —
• LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs (2024)
  Yushi Bai et al.
  —
• Making Text Embedders Few-Shot Learners (2024)
  Chaofan Li et al.
  —
• MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models (2024)
  Pei Wang et al.
  —
• Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs (2024)
  Sumanth Doddapaneni et al.
  —
• LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models (2024)
  Zhengyi Wang et al.
  —
• UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages (2024)
  Bethel Melesse Tessema et al.
  —