---
title: "Computer Science — papers, page 40 — Elamur Research"
description: "Computer Science: 9,085 papers of the Elamur Research library · page 40 of 92 · 3826–3925, the most cited first — our summary of each, its…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/page/40/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/page/40/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) / page 40

# 🖥️ Computer Science

9,085 papers · page 40 of 92 · 3826–3925 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial intelligence, language technology, vision, systems, networks, software and the theory of computing.

## Papers (9,085)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/39/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [30](https://md.research.elamur.ai/free/en/shelves/computer-science/page/30/) … [39](https://md.research.elamur.ai/free/en/shelves/computer-science/page/39/) **40** [41](https://md.research.elamur.ai/free/en/shelves/computer-science/page/41/) … [50](https://md.research.elamur.ai/free/en/shelves/computer-science/page/50/) … [92](https://md.research.elamur.ai/free/en/shelves/computer-science/page/92/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/page/41/)

3826. [**In-Context Learning for Few-Shot Dialogue State Tracking**Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, et al.*2022 · 144 citations*](https://md.research.elamur.ai/free/en/papers/hu-2022-context-learning-few-shot-dialogue/)
3827. [**Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation**Ji Ma, Ivan Korotkov, Yinfei Yang, et al.*2021 · 144 citations*](https://md.research.elamur.ai/free/en/papers/ma-2021-zero-shot-neural-passage-retrieval/)
3828. [**From Arguments to Key Points: Towards Automatic Argument Summarization**Roy Bar-Haim, Lilach Eden, Roni Friedman, et al.*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/haim-2020-arguments-key-points-automatic-argument/)
3829. [**GLUCOSE: GeneraLized and COntextualized Story Explanations**Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, et al.*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/mostafazadeh-2020-glucose-generalized-contextualized-story-explanations/)
3830. [**GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems**Lishan Huang, Zheng Ye, Jinghui Qin, et al.*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/huang-2020-grade-automatic-graph-enhanced-coherence/)
3831. [**Identifying and Measuring Annotator Bias Based on Annotators' Demographic Characteristics**Hala Al Kuwatly, Maximilian Wich, Georg Groh*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/kuwatly-2020-identifying-measuring-annotator-bias-based/)
3832. [**SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation**Xutai Ma, Mohammad Javad Dousti, Changhan Wang, et al.*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/ma-2020-simuleval-evaluation-toolkit-simultaneous-translation/)
3833. [**Vecalign: Improved Sentence Alignment in Linear Time and Space**Brian Thompson, Philipp Koehn*2019 · 144 citations*](https://md.research.elamur.ai/free/en/papers/thompson-2019-vecalign-improved-sentence-alignment-linear/)
3834. [**SUD or Surface-Syntactic Universal Dependencies: An annotation scheme near-isomorphic to UD**Kim Gerdes, Bruno Guillaume, Sylvain Kahane, et al.*2018 · 144 citations*](https://md.research.elamur.ai/free/en/papers/gerdes-2018-sud-or-surface-syntactic-universal/)
3835. [**Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification**Lianhui Qin, Zhisong Zhang, Hai Zhao, et al.*2017 · 144 citations*](https://md.research.elamur.ai/free/en/papers/qin-2017-adversarial-connective-exploiting-networks-implicit/)
3836. [**Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification**Man Lan, Jianxiang Wang, Yuanbin Wu, et al.*2017 · 144 citations*](https://md.research.elamur.ai/free/en/papers/lan-2017-multi-task-attention-based-neural/)
3837. [**The Role of Context Types and Dimensionality in Learning Word Embeddings**Oren Melamud, David McClosky, Siddharth Patwardhan, et al.*2016 · 144 citations*](https://md.research.elamur.ai/free/en/papers/melamud-2016-role-context-types-dimensionality-learning/)
3838. [**Collective Classification for Fine-grained Information Status**Katja Markert, Yufang Hou, Michael Strube*2012 · 144 citations*](https://md.research.elamur.ai/free/en/papers/markert-2012-collective-classification-fine-grained-information/)
3839. [**Supervised Models for Coreference Resolution**Altaf Rahman, Vincent Ng*2009 · 144 citations*](https://md.research.elamur.ai/free/en/papers/rahman-2009-supervised-models-coreference-resolution/)
3840. [**Learning to Resolve Bridging References**Massimo Poesio, Rahul Mehta, Axel Maroudas, et al.*2004 · 144 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2004-learning-resolve-bridging-references/)
3841. [**Unsupervised discovery of morphologically related words based on orthographic and semantic similarity**Marco Baroni, Johannes Matiasek, Harald Trost*2002 · 144 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2002-unsupervised-discovery-morphologically-related-words/)
3842. [**Automatic Processing of Large Corpora for the Resolution of Anaphora References**Ido Dagan, Alon Itai*1990 · 144 citations*](https://md.research.elamur.ai/free/en/papers/dagan-1990-automatic-processing-large-corpora-resolution/)
3843. [**Executable Code Actions Elicit Better LLM Agents**Xingyao Wang, Yangyi Chen, Lifan Yuan, et al.*2024 · 143 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-executable-code-actions-elicit-better/)
3844. [**Full Parameter Fine-tuning for Large Language Models with Limited Resources**Kai Lv, Yuqing Yang, Tengxiao Liu, et al.*2024 · 143 citations*](https://md.research.elamur.ai/free/en/papers/lv-2024-full-parameter-fine-tuning-large/)
3845. [**Generative Verifiers: Reward Modeling as Next-Token Prediction**Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al.*2024 · 143 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-generative-verifiers-reward-modeling-as/)
3846. [**AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages**Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, et al.*2023 · 143 citations*](https://md.research.elamur.ai/free/en/papers/muhammad-2023-afrisenti-twitter-sentiment-analysis-benchmark/)
3847. [**MiniLLM: On-Policy Distillation of Large Language Models**Yuxian Gu, Li Dong, Furu Wei, et al.*2023 · 143 citations*](https://md.research.elamur.ai/free/en/papers/gu-2023-minillm-policy-distillation-large-language/)
3848. [**Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision**Eugene Kharitonov, Damien Vincent, Zalán Borsos, et al.*2023 · 143 citations*](https://md.research.elamur.ai/free/en/papers/kharitonov-2023-speak-read-prompt-high-fidelity/)
3849. [**Quality-Aware Decoding for Neural Machine Translation**Patrick Fernandes, António Farinhas, Ricardo Rei, et al.*2022 · 143 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/)
3850. [**TopiOCQA: Open-domain Conversational Question Answering with Topic Switching**Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, et al.*2022 · 143 citations*](https://md.research.elamur.ai/free/en/papers/adlakha-2022-topiocqa-open-domain-conversational-question/)
3851. [**Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning**Tommaso Fornaciari, Alexandra Uma, Silviu Paun, et al.*2021 · 143 citations*](https://md.research.elamur.ai/free/en/papers/fornaciari-2021-beyond-black-white-leveraging-annotator/)
3852. [**Towards Robustness of Text-to-SQL Models against Synonym Substitution**Yujian Gan, Xinyun Chen, Qiuping Huang, et al.*2021 · 143 citations*](https://md.research.elamur.ai/free/en/papers/gan-2021-robustness-text-sql-models-against/)
3853. [**What Have We Achieved on Text Summarization?**Dandan Huang, Leyang Cui, Sen Yang, et al.*2020 · 143 citations*](https://md.research.elamur.ai/free/en/papers/huang-2020-what-have-we-achieved-text/)
3854. [**Mapping to Declarative Knowledge for Word Problem Solving**Subhro Roy, Dan Roth*2018 · 143 citations*](https://md.research.elamur.ai/free/en/papers/roy-2018-mapping-declarative-knowledge-word-problem/)
3855. [**Using Context Information for Dialog Act Classification in DNN Framework**Yang Liu, Kun Han, Zhao Tan, et al.*2017 · 143 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-context-information-dialog-act-classification/)
3856. [**Aligning English Strings with Abstract Meaning Representation Graphs**Nima Pourdamghani, Yang Gao, Ulf Hermjakob, et al.*2014 · 143 citations*](https://md.research.elamur.ai/free/en/papers/pourdamghani-2014-aligning-english-strings-abstract-meaning/)
3857. [**ORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation**Chin-Yew Lin, Franz Josef Och*2004 · 143 citations*](https://md.research.elamur.ai/free/en/papers/lin-2004-orange-method-evaluating-automatic-evaluation/)
3858. [**Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning**Shenzhi Wang, Le Yu, Chang Gao, et al.*2025 · 142 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-80-20-rule-high-entropy/)
3859. [**Dense X Retrieval: What Retrieval Granularity Should We Use?**Tong Chen, Hongwei Wang, Sihao Chen, et al.*2024 · 142 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-dense-x-retrieval-what-retrieval/)
3860. [**Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts**Haoxiang Wang, Wei Xiong, Tengyang Xie, et al.*2024 · 142 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-interpretable-preferences-multi-objective-reward/)
3861. [**Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge**Jiayi Ye, Yanbo Wang, Yue Huang, et al.*2024 · 142 citations*](https://md.research.elamur.ai/free/en/papers/ye-2024-justice-prejudice-quantifying-biases-llm/)
3862. [**In-Context Learning Creates Task Vectors**Roee Hendel, Mor Geva, Amir Globerson*2023 · 142 citations*](https://md.research.elamur.ai/free/en/papers/hendel-2023-context-learning-creates-task-vectors/)
3863. [**JudgeLM: Fine-tuned Large Language Models are Scalable Judges**Lianghui Zhu, Xinggang Wang, Xinlong Wang*2023 · 142 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-judgelm-fine-tuned-large-language/)
3864. [**ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings**Shibo Hao, Tianyang Liu, Zhen Wang, et al.*2023 · 142 citations*](https://md.research.elamur.ai/free/en/papers/hao-2023-toolkengpt-augmenting-frozen-language-models/)
3865. [**TALM: Tool Augmented Language Models**Aaron Parisi, Yao Zhao, Noah Fiedel*2022 · 142 citations*](https://md.research.elamur.ai/free/en/papers/parisi-2022-talm-tool-augmented-language-models/)
3866. [**ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning**Chih-Yao Chen, Cheng-Te Li*2021 · 142 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-zs-bert-zero-shot-relation/)
3867. [**Rethinking embedding coupling in pre-trained language models**Hyung Won Chung, Thibault Févry, Henry Tsai, et al.*2020 · 142 citations*](https://md.research.elamur.ai/free/en/papers/chung-2020-rethinking-embedding-coupling-pre-trained/)
3868. [**Deep contextualized word representations for detecting sarcasm and irony**Suzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al.*2018 · 142 citations*](https://md.research.elamur.ai/free/en/papers/ilic-2018-deep-contextualized-word-representations-detecting/)
3869. [**Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives**Attapol Rutherford, Nianwen Xue*2015 · 142 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2015-improving-inference-implicit-discourse-relations/)
3870. [**Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words**Debanjan Ghosh, Weiwei Guo, Smaranda Muresan*2015 · 142 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2015-sarcastic-or-not-word-embeddings/)
3871. [**RSTTool 2.4 - A markup Tool for Rhetorical Structure Theory**Michael O'Donnell*2000 · 142 citations*](https://md.research.elamur.ai/free/en/papers/donnell-2000-rsttool-2-4-markup-tool/)
3872. [**Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond**Fangzhi Xu, Qika Lin, Jiawei Han, et al.*2023 · 141 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-really-good/)
3873. [**Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization**Xianjun Yang, Yan Li, Xinlu Zhang, et al.*2023 · 141 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-exploring-limits-chatgpt-query-aspect/)
3874. [**Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions**John Chung, Ece Kamar, Saleema Amershi*2023 · 141 citations*](https://md.research.elamur.ai/free/en/papers/chung-2023-increasing-diversity-while-maintaining-accuracy/)
3875. [**ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics**Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, et al.*2023 · 141 citations*](https://md.research.elamur.ai/free/en/papers/azerbayev-2023-proofnet-autoformalizing-formally-proving-undergraduate/)
3876. [**IndicBART: A Pre-trained Model for Indic Natural Language Generation**Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, et al.*2022 · 141 citations*](https://md.research.elamur.ai/free/en/papers/dabre-2022-indicbart-pre-trained-model-indic/)
3877. [**RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction**Yew Ken Chia, Lidong Bing, Soujanya Poria, et al.*2022 · 141 citations*](https://md.research.elamur.ai/free/en/papers/chia-2022-relationprompt-leveraging-prompts-generate-synthetic/)
3878. [**Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade**Jiatao Gu, Xiang Kong*2021 · 141 citations*](https://md.research.elamur.ai/free/en/papers/gu-2021-fully-non-autoregressive-neural-machine/)
3879. [**Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases**Boxi Cao, Hongyu Lin, Xianpei Han, et al.*2021 · 141 citations*](https://md.research.elamur.ai/free/en/papers/cao-2021-knowledgeable-or-educated-guess-revisiting/)
3880. [**Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?**Abhilasha Ravichander, Yonatan Belinkov, Eduard Hovy*2021 · 141 citations*](https://md.research.elamur.ai/free/en/papers/ravichander-2021-probing-probing-paradigm-does-probing/)
3881. [**SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense**J. A. Meaney, Steven Wilson, Luis Chiruzzo, et al.*2021 · 141 citations*](https://md.research.elamur.ai/free/en/papers/meaney-2021-semeval-2021-task-7-hahackathon/)
3882. [**Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure**Jiaqi Li, Ming Liu, Min-Yen Kan, et al.*2020 · 141 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-molweni-challenge-multiparty-dialogues-based/)
3883. [**Large-Scale QA-SRL Parsing**Nicholas FitzGerald, Julian Michael, Luheng He, et al.*2018 · 141 citations*](https://md.research.elamur.ai/free/en/papers/fitzgerald-2018-large-scale-qa-srl-parsing/)
3884. [**RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation**Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi*2018 · 141 citations*](https://md.research.elamur.ai/free/en/papers/shimanaka-2018-ruse-regressor-sentence-embeddings-automatic/)
3885. [**Trivial Transfer Learning for Low-Resource Neural Machine Translation**Tom Kocmi, Ondřej Bojar*2018 · 141 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2018-trivial-transfer-learning-low-resource/)
3886. [**Dynamic Entity Representations in Neural Language Models**Yangfeng Ji, Chenhao Tan, Sebastian Martschat, et al.*2017 · 141 citations*](https://md.research.elamur.ai/free/en/papers/ji-2017-dynamic-entity-representations-neural-language/)
3887. [**Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network**Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya*2017 · 141 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2017-learning-cognitive-features-gaze-data/)
3888. [**Investigating the distribution of some (but not all) implicatures using corpora and web-based methods**Judith Degen*2015 · 141 citations*](https://md.research.elamur.ai/free/en/papers/degen-2015-investigating-distribution-some-but-not/)
3889. [**Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution**Eraldo Fernandes, Cícero dos Santos, Ruy Milidiú*2012 · 141 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2012-latent-structure-perceptron-feature-induction/)
3890. [**Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies**Liangming Pan, Michael Saxon, Wenda Xu, et al.*2024 · 140 citations*](https://md.research.elamur.ai/free/en/papers/pan-2024-automatically-correcting-large-language-models/)
3891. [**How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model**Michael Hanna, Ollie Liu, Alexandre Variengien*2023 · 140 citations*](https://md.research.elamur.ai/free/en/papers/hanna-2023-gpt-2-compute-greater-than/)
3892. [**A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation**Tianyu Liu, Yizhe Zhang, Chris Brockett, et al.*2022 · 140 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-token-level-reference-free-hallucination/)
3893. [**MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation**Quan Tu, Yanran Li, Jianwei Cui, et al.*2022 · 140 citations*](https://md.research.elamur.ai/free/en/papers/tu-2022-misc-mixed-strategy-aware-model/)
3894. [**Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features**Hannah Rashkin, David Reitter, Gaurav Singh Tomar, et al.*2021 · 140 citations*](https://md.research.elamur.ai/free/en/papers/rashkin-2021-increasing-faithfulness-knowledge-grounded-dialogue/)
3895. [**Paragraph-level Simplification of Medical Texts**Ashwin Devaraj, Iain Marshall, Byron Wallace, et al.*2021 · 140 citations*](https://md.research.elamur.ai/free/en/papers/devaraj-2021-paragraph-level-simplification-medical-texts/)
3896. [**TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation**Adaku Uchendu, Zeyu Ma, Thai Le, et al.*2021 · 140 citations*](https://md.research.elamur.ai/free/en/papers/uchendu-2021-turingbench-benchmark-environment-turing-test/)
3897. [**On The Evaluation of Machine Translation Systems Trained With Back-Translation**Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.*2020 · 140 citations*](https://md.research.elamur.ai/free/en/papers/edunov-2020-evaluation-machine-translation-systems-trained/)
3898. [**Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA**Yichen Jiang, Mohit Bansal*2019 · 140 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2019-avoiding-reasoning-shortcuts-adversarial-evaluation/)
3899. [**An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews**Konstantin Buschmeier, Philipp Cimiano, Roman Klinger*2014 · 140 citations*](https://md.research.elamur.ai/free/en/papers/buschmeier-2014-impact-analysis-features-classification-approach/)
3900. [**Developing an Arabic Treebank: Methods, Guidelines, Procedures, and Tools**Mohamed Maamouri, Ann Bies*2004 · 140 citations*](https://md.research.elamur.ai/free/en/papers/maamouri-2004-developing-arabic-treebank-methods-guidelines/)
3901. [**LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens**Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, et al.*2024 · 139 citations*](https://md.research.elamur.ai/free/en/papers/ding-2024-longrope-extending-llm-context/)
3902. [**A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation**Neeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/varshney-2023-stitch-time-saves-nine-detecting/)
3903. [**Diverse Demonstrations Improve In-context Compositional Generalization**Itay Levy, Ben Bogin, Jonathan Berant*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/levy-2023-diverse-demonstrations-improve-context-compositional/)
3904. [**Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step**Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-symbolic-chain-thought-distillation-small/)
3905. [**The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning**Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-unlocking-spell-base-llms-rethinking/)
3906. [**Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration**Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al.*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-unleashing-emergent-cognitive-synergy-large/)
3907. [**All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality**William Timkey, Marten van Schijndel*2021 · 139 citations*](https://md.research.elamur.ai/free/en/papers/timkey-2021-all-bark-no-bite-rogue/)
3908. [**Bot-Adversarial Dialogue for Safe Conversational Agents**Jing Xu, Da Ju, Margaret Li, et al.*2021 · 139 citations*](https://md.research.elamur.ai/free/en/papers/xu-2021-bot-adversarial-dialogue-safe-conversational/)
3909. [**ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning**Yujia Qin, Yankai Lin, Ryuichi Takanobu, et al.*2021 · 139 citations*](https://md.research.elamur.ai/free/en/papers/qin-2021-erica-improving-entity-relation-understanding/)
3910. [**On the Language Neutrality of Pre-trained Multilingual Representations**Jindřich Libovický, Rudolf Rosa, Alexander Fraser*2020 · 139 citations*](https://md.research.elamur.ai/free/en/papers/libovicky-2020-language-neutrality-pre-trained-multilingual/)
3911. [**Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking**Samuel Broscheit*2019 · 139 citations*](https://md.research.elamur.ai/free/en/papers/broscheit-2019-investigating-entity-knowledge-bert-simple/)
3912. [**Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples**Vidur Joshi, Matthew Peters, Mark Hopkins*2018 · 139 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2018-extending-parser-distant-domains-few/)
3913. [**Posterior calibration and exploratory analysis for natural language processing models**Khanh Nguyen, Brendan O'Connor*2015 · 139 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2015-posterior-calibration-exploratory-analysis-natural/)
3914. [**Dependency-based Semantic Role Labeling of PropBank**Richard Johansson, Pierre Nugues*2008 · 139 citations*](https://md.research.elamur.ai/free/en/papers/johansson-2008-dependency-based-semantic-role-labeling/)
3915. [**DeepInception: Hypnotize Large Language Model to Be Jailbreaker**Xuan Li, Zhanke Zhou, Jianing Zhu, et al.*2023 · 138 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-deepinception-hypnotize-large-language-model/)
3916. [**Efficient Training of Language Models to Fill in the Middle**Mohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.*2022 · 138 citations*](https://md.research.elamur.ai/free/en/papers/bavarian-2022-efficient-training-language-models-fill/)
3917. [**Exploring Length Generalization in Large Language Models**Cem Anil, Yuhuai Wu, Anders Andreassen, et al.*2022 · 138 citations*](https://md.research.elamur.ai/free/en/papers/anil-2022-exploring-length-generalization-large-language/)
3918. [**FaithDial: A Faithful Benchmark for Information-Seeking Dialogue**Nouha Dziri, Ehsan Kamalloo, Sivan Milton, et al.*2022 · 138 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2022-faithdial-faithful-benchmark-information-seeking/)
3919. [**A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task**Chee Wee (Ben) Leong, Beata Beigman Klebanov, Chris Hamill, et al.*2020 · 138 citations*](https://md.research.elamur.ai/free/en/papers/leong-2020-report-2020-vua-toefl-metaphor/)
3920. [**Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling**Alan Akbik, Laura Chiticariu, Marina Danilevsky, et al.*2015 · 138 citations*](https://md.research.elamur.ai/free/en/papers/akbik-2015-generating-high-quality-proposition-banks/)
3921. [**Modeling Organization in Student Essays**Isaac Persing, Alan Davis, Vincent Ng*2010 · 138 citations*](https://md.research.elamur.ai/free/en/papers/persing-2010-modeling-organization-student-essays/)
3922. [**Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach**Shanheng Zhao, Hwee Tou Ng*2007 · 138 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2007-identification-resolution-chinese-zero-pronouns/)
3923. [**R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning**Huatong Song, Jinhao Jiang, Yingqian Min, et al.*2025 · 137 citations*](https://md.research.elamur.ai/free/en/papers/song-2025-r1-searcher-incentivizing-search/)
3924. [**DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models**Weihang Su, Yichen Tang, Qingyao Ai, et al.*2024 · 137 citations*](https://md.research.elamur.ai/free/en/papers/su-2024-dragin-dynamic-retrieval-augmented-generation/)
3925. [**Investigating Data Contamination in Modern Benchmarks for Large Language Models**Chunyuan Deng, Yilun Zhao, Xiangru Tang, et al.*2024 · 137 citations*](https://md.research.elamur.ai/free/en/papers/deng-2024-investigating-data-contamination-modern-benchmarks/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/39/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [30](https://md.research.elamur.ai/free/en/shelves/computer-science/page/30/) … [39](https://md.research.elamur.ai/free/en/shelves/computer-science/page/39/) **40** [41](https://md.research.elamur.ai/free/en/shelves/computer-science/page/41/) … [50](https://md.research.elamur.ai/free/en/shelves/computer-science/page/50/) … [92](https://md.research.elamur.ai/free/en/shelves/computer-science/page/92/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/page/41/)