---
title: "Who cites Kexin Pei — page 2 — 635 papers of our library"
description: "635 papers of the Elamur Research library cite the works of Kexin Pei, found in their bibliographies · page 2 of 2 · 101–177; the most cited first."
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---
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# Who cites Kexin Pei

635 citations of their works from 635 papers of our library (of the 149,439 whose bibliographies we read) · 177 with a page here, the most cited first · page 2 of 2 · 101–177 · [← Kexin Pei](https://md.research.elamur.ai/free/en/authors/kexin-pei/)

[← prev](https://md.research.elamur.ai/free/en/authors/kexin-pei/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/kexin-pei/cited-by/) **2**

101. **[OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding](https://md.research.elamur.ai/free/en/papers/ding-2026-octobench-benchmarking-scaffold-aware-instruction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Deming Ding, Shichun Liu, Enhui Yang, et al.*2026 · 4 citations*
102. **[Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities](https://md.research.elamur.ai/free/en/papers/oh-2026-uncertainty-quantification-llm-agents-foundations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changdae Oh, Seongheon Park, To Eun Kim, et al.*2026 · 4 citations*
103. **[DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal](https://md.research.elamur.ai/free/en/papers/aggarwal-2025-dars-dynamic-action-re-sampling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh, et al.*2025 · 4 citations*
104. [**Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents arXiv:2509.23045**Zonghan Yang, Shengjie Wang, Kelin Fu, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-kimi-dev-agentless-training/)
105. **[Agentic Rubrics as Contextual Verifiers for SWE Agents](https://md.research.elamur.ai/free/en/papers/raghavendra-2026-agentic-rubrics-as-contextual-verifiers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohit Raghavendra, Anisha Gunjal, Bing Liu, et al.*2026 · 3 citations*
106. **[From Charts to Code: A Hierarchical Benchmark for Multimodal Models](https://md.research.elamur.ai/free/en/papers/tang-2026-charts-code-hierarchical-benchmark-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiahao Tang, Henry Hengyuan Zhao, Lijian Wu, et al.*2026 · 3 citations*
107. **[MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference](https://md.research.elamur.ai/free/en/papers/zhang-2026-mapro-recasting-multi-agent-prompt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zheyuan Zhang, Lin Ge, Hongjiang Li, et al.*2026 · 3 citations*
108. **[REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once](https://md.research.elamur.ai/free/en/papers/pan-2026-rest-stress-testing-large-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhuoshi Pan, Qizhi Pei, Yu Li, et al.*2026 · 3 citations*
109. **[Self-Evolving Multi-Agent Systems via Textual Backpropagation](https://md.research.elamur.ai/free/en/papers/ma-2026-self-evolving-multi-agent-systems/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaowen Ma, Yunpu Ma, Chenyang Lin, et al.*2026 · 3 citations*
110. [**Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs arXiv:2506.19290**Liang Zeng, Yongcong Li, Yuzhen Xiao, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2025-skywork-swe-unveiling-data/)
111. **[Beyond Accuracy: Unveiling Inefficiency Patterns in Tool-Integrated Reasoning](https://md.research.elamur.ai/free/en/papers/su-2026-beyond-accuracy-unveiling-inefficiency-patterns/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qisheng Su, Shiting Huang, Zhen Fang, et al.*2026 · 2 citations*
112. **[EvoRoute: Experience-Driven Self-Routing LLM Agent Systems](https://md.research.elamur.ai/free/en/papers/zhang-2026-evoroute-experience-driven-self-routing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guibin Zhang, Haiyang Yu, Kaiming Yang, et al.*2026 · 2 citations*
113. **[GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities](https://md.research.elamur.ai/free/en/papers/misra-2026-gitchameleon-2-0-evaluating-ai/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Diganta Misra, Nizar Islah, Victor May, et al.*2026 · 2 citations*
114. **[Learning to Ideate for Machine Learning Engineering Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-learning-ideate-machine-learning-engineering/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yunxiang Zhang, Kang Zhou, Zhichao Xu, et al.*2026 · 2 citations*
115. [**MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling arXiv:2602.11761**MiniCPM Team, Wenhao An, Yingfa Chen, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/minicpm-team-2026-minicpm-sala-hybridizing-sparse/)
116. [**MiniMax Sparse Attention arXiv:2606.13392**Xunhao Lai, Weiqi Xu, Yufeng Yang, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/lai-2026-minimax-sparse-attention/)
117. **[MultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms](https://md.research.elamur.ai/free/en/papers/wang-2026-multifiletest-multi-file-level-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Wang, Congying Xia, Wenting Zhao, et al.*2026 · 2 citations*
118. **[The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents](https://md.research.elamur.ai/free/en/papers/xuan-2026-confidence-dichotomy-analyzing-mitigating-miscalibration/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weihao Xuan, Qingcheng Zeng, Heli Qi, et al.*2026 · 2 citations*
119. **[Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents](https://md.research.elamur.ai/free/en/papers/wang-2026-trajectory2task-training-robust-tool-calling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyi Wang, Yuxuan Lu, Yimeng Zhang, et al.*2026 · 2 citations*
120. **[Addressing the Ecological Fallacy in Larger LMs with Human Context](https://md.research.elamur.ai/free/en/papers/soni-2026-addressing-ecological-fallacy-larger-lms/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Nikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, et al.*2026 · 1 citation*
121. **[ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/yin-2026-arise-adaptive-resolution-aware-metric/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, et al.*2026 · 1 citation*
122. **[CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-codeflowbench-multi-turn-iterative-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sizhe Wang, Zhengren Wang, Dongsheng Ma, et al.*2026 · 1 citation*
123. **[EVM-QuestBench: An Execution-Grounded Benchmark for Natural-Language Transaction Code Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-evm-questbench-execution-grounded-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pei Yang, Wanyi Chen, Ke Wang, et al.*2026 · 1 citation*
124. **[POSTCONDBENCH: Benchmarking Correctness and Completeness in Formal Postcondition Inference](https://md.research.elamur.ai/free/en/papers/zhang-2026-postcondbench-benchmarking-correctness-completeness-formal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Gehao Zhang, Juan Zhai*2026 · 1 citation*
125. **[RAFFLES: Reasoning-based Attribution of Faults for LLM Systems](https://md.research.elamur.ai/free/en/papers/zhu-2026-raffles-reasoning-based-attribution-faults/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Chenyang Zhu, Spencer Hong, Jingyu Wu, et al.*2026 · 1 citation*
126. **[RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories](https://md.research.elamur.ai/free/en/papers/wang-2026-realsec-bench-benchmark-evaluating-secure/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yanlin Wang, Ziyao Zhang, Chong Wang, et al.*2026 · 1 citation*
127. **[RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository](https://md.research.elamur.ai/free/en/papers/peng-2026-repogenesis-benchmarking-end-end-microservice/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyuan Peng, Xin Yin, Pu Zhao, et al.*2026 · 1 citation*
128. **[SpecAgent: A Speculative Retrieval and Forecasting Agent for Code Completion](https://md.research.elamur.ai/free/en/papers/ma-2026-specagent-speculative-retrieval-forecasting-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**George Ma, Anurag Koul, Qi Chen, et al.*2026 · 1 citation*
129. **[Strong Reasoning Isn't Enough: Evaluating Evidence Elicitation in Interactive Diagnosis](https://md.research.elamur.ai/free/en/papers/long-2026-strong-reasoning-isn-t-enough/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuohan Long, Zhongyu Wei*2026 · 1 citation*
130. **[SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering?](https://md.research.elamur.ai/free/en/papers/sun-2026-swe-mutation-can-llms-generate/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxuan Sun, Yuze Zhao, Yufeng Wang, et al.*2026 · 1 citation*
131. **[Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel Faults](https://md.research.elamur.ai/free/en/papers/zhou-2026-taming-system-complexity-demystifying-software/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenhao Zhou, Zhuochen Huang, Yike He, et al.*2026 · 1 citation*
132. **[AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models](https://md.research.elamur.ai/free/en/papers/althnian-2025-araeval-arabic-multi-task-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.*2025 · 1 citation*
133. **[ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development](https://md.research.elamur.ai/free/en/papers/yang-2026-abc-bench-benchmarking-agentic-backend/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jie Yang, Honglin Guo, Li Ji, et al.*2026*
134. **[Across Programming Language Silos: A Study on Cross-Lingual Retrieval-Augmented Code Generation](https://md.research.elamur.ai/free/en/papers/zhu-2026-across-programming-language-silos-study/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiming Zhu, Jialun Cao, Xuanang Chen, et al.*2026*
135. **[Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents](https://md.research.elamur.ai/free/en/papers/yehudai-2026-agentic-clear-automating-multi-level/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Asaf Yehudai, Lilach Eden, Michal Shmueli-Scheuer*2026*
136. **[AnalystBench: Benchmarking professional long-form report generation with web-mined multimodal tasks](https://md.research.elamur.ai/free/en/papers/pham-2026-analystbench-benchmarking-professional-long-form/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chau Minh Pham, Zichao Wang, Puneet Mathur, et al.*2026*
137. **[ARCHITECT: Uncertainty-Aware Dynamic Tool Learning via Causal Intervention for Open-World Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-architect-uncertainty-aware-dynamic-tool/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhangyi Wang, Jiexiang Xu, Bingnan Yu, et al.*2026*
138. **[AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM Coding](https://md.research.elamur.ai/free/en/papers/osebe-2026-autosuit-bench-automated-security-unit/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Samuel Osebe, Fan Yang, Junyi Li, et al.*2026*
139. **[Beyond Static Toolsets: Self-Evolving LLM Tool Agents via Continual Documentation Adaptation](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-static-toolsets-self-evolving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bin Wu, Edgar Meij, Emine Yilmaz*2026*
140. **[Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context Compression](https://md.research.elamur.ai/free/en/papers/lu-2026-beyond-context-window-scaling-agentic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Miao Lu, Weiwei Sun, Weihua Du, et al.*2026*
141. **[Boosting Self-Consistency with Ranking](https://md.research.elamur.ai/free/en/papers/marina-2026-boosting-self-consistency-ranking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Maria Marina, Daniil Moskovskiy, Sergey Pletenev, et al.*2026*
142. **[BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents](https://md.research.elamur.ai/free/en/papers/ou-2026-browseconf-confidence-guided-test-time/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Litu Ou, Kuan Li, Huifeng Yin, et al.*2026*
143. **[Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and Benchmark](https://md.research.elamur.ai/free/en/papers/luo-2026-can-ai-revise-research-papers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zihan Luo, Hong Huang, Jianxun Lian, et al.*2026*
144. **[ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-climagent-llm-as-agents-autonomous/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Wang, Jindong Han, Wei Fan, et al.*2026*
145. **[code-transformed: The Influence of Large Language Models on Code](https://md.research.elamur.ai/free/en/papers/xu-2026-code-transformed-influence-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuliang Xu, Siming Huang, Mingmeng Geng, et al.*2026*
146. **[CodeRise: Bootstrapping LLMs for Ultra Low-Resource Programming Languages via Progressive Self-Refinement Curriculum](https://md.research.elamur.ai/free/en/papers/wen-2026-coderise-bootstrapping-llms-ultra-low/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tengfei Wen, Xuanang Chen, Ben He, et al.*2026*
147. **[CodeScout: Contextual Problem Statement Enhancement for Software Agents](https://md.research.elamur.ai/free/en/papers/suri-2026-codescout-contextual-problem-statement-enhancement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Manan Suri, Xiangci Li, Mehdi Shojaie, et al.*2026*
148. **[Contract-Coding: Towards Repo-Level Generation via Structured Symbolic Paradigm](https://md.research.elamur.ai/free/en/papers/yilin-2026-contract-coding-repo-level-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yilin, Lujin Zhao, Yijie Shi*2026*
149. **[EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering](https://md.research.elamur.ai/free/en/papers/mao-2026-egss-entropy-guided-stepwise-scaling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenhui Mao, Yuanting Lei, Zhixiang Wei, et al.*2026*
150. **[Fico: Evaluating Vision-Language Models under Visual Fidelity and Compression at Scale](https://md.research.elamur.ai/free/en/papers/tu-2026-fico-evaluating-vision-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jianhong Tu, Nicholas Crispino, Kyle Montgomery, et al.*2026*
151. **[FuseSearch: Learning Adaptive Parallel Execution for Efficient Code Localization](https://md.research.elamur.ai/free/en/papers/xu-2026-fusesearch-learning-adaptive-parallel-execution/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ke Xu, Siyang Xiao, Ming Liang, et al.*2026*
152. **[Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment](https://md.research.elamur.ai/free/en/papers/zhang-2026-generalizable-llm-learning-graph-synthetic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yizhuo Zhang, Heng Wang, Shangbin Feng, et al.*2026*
153. **[Generative Gamer: Learning Equilibrium Strategy by LLM-driven Dynamic Deduction](https://md.research.elamur.ai/free/en/papers/zhang-2026-generative-gamer-learning-equilibrium-strategy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yadong Zhang, Xinshu Shen, Yupei Ren, et al.*2026*
154. **[How Adversarial Environments Mislead Agentic AI?](https://md.research.elamur.ai/free/en/papers/zhan-2026-how-adversarial-environments-mislead-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhonghao Zhan, Huichi Zhou, Zhenhao Li, et al.*2026*
155. **[How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Design Factors](https://md.research.elamur.ai/free/en/papers/yu-2026-how-do-visual-attributes-influence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kuai Yu, Naicheng Yu, Han Wang, et al.*2026*
156. **[HybridCodeAuthorship: A Benchmark Dataset for Line-Level Code Authorship Detection](https://md.research.elamur.ai/free/en/papers/patterson-2026-hybridcodeauthorship-benchmark-dataset-line-level/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Luke S. Patterson, Li Wang, Adam Faulkner*2026*
157. **[InferPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents](https://md.research.elamur.ai/free/en/papers/wu-2026-inferpilot-autonomous-inference-attacks-against/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yixin Wu, Rui Wen, Chi Cui, et al.*2026*
158. **[KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic Tasks](https://md.research.elamur.ai/free/en/papers/sun-2026-karl-reinforcement-learning-llm-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xueqiao Sun, Xiao Liu, Bowen Lv, et al.*2026*
159. **[LLMs Know More About Numbers than They Can Say](https://md.research.elamur.ai/free/en/papers/yuchi-2026-llms-know-more-about-numbers/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Fengting Yuchi, Li Du, Jason Eisner*2026*
160. **[LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software](https://md.research.elamur.ai/free/en/papers/rashid-2026-logiceval-systematic-framework-evaluating-automated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Syed Md Mukit Rashid, Abdullah Al Ishtiaq, Kai Tu, et al.*2026*
161. **[LoopCoder: Scaling Code Intelligence via Looped Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-loopcoder-scaling-code-intelligence-looped/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jian Yang, Wei Zhang, Shuyue Guo, et al.*2026*
162. **[MTRouter: Cost-Aware Multi-Turn LLM Routing with History–Model Joint Embeddings](https://md.research.elamur.ai/free/en/papers/zhang-2026-mtrouter-cost-aware-multi-turn/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiqun Zhang, Hao Li, Zihan Wang, et al.*2026*
163. **[Omni-I2C: A Holistic Benchmark for High-Fidelity Image-to-Code Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-omni-i2c-holistic-benchmark-high/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiawei Zhou, Chi Zhang, Xiang Feng, et al.*2026*
164. **[PerfCoder: Large Language Models for Interpretable Code Performance Optimization](https://md.research.elamur.ai/free/en/papers/yang-2026-perfcoder-large-language-models-interpretable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiuding Yang, Shengyao Lu, Hongxuan Liu, et al.*2026*
165. **[Position: Scores Without Context? Rethinking the Role of Evaluation in the Era of LLMs](https://md.research.elamur.ai/free/en/papers/zhou-2026-position-scores-without-context-rethinking/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Jiawei Zhou*2026*
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